Is Resistance Futile?: Early Career Game Developers, Generative AI, and Ethical Skepticism
Open accessAbstract
This paper presents a study that examines developer perceptions and usage of generative AI (GAI) in a summer professional development program for game development interns focused on mobile game design. GAI applications are in common usage worldwide, yet the impacts of this technology in game development remain relatively underexplored. Through a qualitative study using ethnographic interviews and participatory observation, this paper explores how GAI impacted the workflows, creative processes, and professional identities of early career game developers. We present a case of GAI integration that was not a straightforward adoption. Focusing on the interns’ resistance, negotiation, and reimagining, we show that the interns were actively developing a new professional culture both with and against generative AI. For the interns, their ethical commitments to fellow game developers and the future of their profession were as important as their practical concerns about usability, utility, and efficacy of GAI tools.
AI snapshot
Written from the paper’s full text.
TL;DR
This qualitative study followed 26 early-career game development interns in Mass Digi’s 2023 Summer Innovation Program as they were encouraged to use generative AI while making mobile games. It found that adoption was not straightforward: many interns resisted or limited GAI use, with artists especially concerned about ethics, ownership, and workflow fit, while programmers more often accepted coding assistants.
Key findings
- Most interns were skeptical of GAI’s claimed benefits, and many refused to use it for development despite encouragement; the authors organize this resistance into four themes: workflow friction, ethics/agency/ownership, usability/utility/efficacy, and imagined GAI futures.
- Programmers often found tools such as GitHub Copilot useful and integrated them into coding, sometimes replacing web searches; artists largely avoided GAI for final assets, citing copyright and training-data concerns, poor game-ready output, and difficulty fitting generated images into their process.
- Artists responded more positively to hypothetical or emerging tools trained on voluntarily provided or owned data, such as Adobe Firefly, and to tools that assist rather than replace their work; some programmers saw GAI as an eventual workplace inevitability.
- The study reports 26 interns across 4 teams, with 20 interviews conducted (4 group team interviews, 3 with the director, and 13 with volunteers representing 10 unique interns), averaging 9 minutes and about 1,500 words per transcript; analysis produced 73 quotes averaging 103 words.
Methods
- The authors conducted an embedded qualitative study during the 11-week SIP from May to August 2023, combining daily participant observation in the studio with semi-structured interviews; all 26 interns and the managing director participated in interviews, and the program assigned interns to 4 teams making mobile games in Unity.
- Data included field notes, interviews, and access to the program’s Ryver communication server; interviews were recorded, transcribed, and analyzed through two phases of manual thematic analysis in Microsoft Excel, first inductively coding recurring themes and later using “resistance to GAI” as a deductive lens.
- The demographic survey was completed by 19 of 26 interns; respondents ranged in age from 18 to 31 (median 21, mean 20), represented 6 academic disciplines, and included 8 male, 4 female, 6 nonbinary, and 1 genderfluid respondents.
Limitations
- The paper states that the study is limited to one program and offers only a snapshot of a larger international cohort; because interns were not required to use GAI, the authors could not examine reactions beyond reasons for continued resistance.
- The paper also notes that the program’s scoping toward existing mobile genres means no insight into GAI as a game mechanic or for player experience, that GAI use was limited to tools found in the program (no video generation, only one audio-focused intern), and that the program cannot represent commercial industry pressures or longer timelines.
- Evident from the text: interviews were short (about 9 minutes on average), many were voluntary and self-selected, the demographic survey had only 19 of 26 respondents, and the embedded researcher and authors were affiliated with Worcester Polytechnic Institute while SIP also operates at WPI, though the paper states the research remained independent.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
6 of 47 cited sources checked · 4 supported · 0 flagged · accuracy not yet measured
- Premisecitation
The rhetorical strategy of using 'tools' language is common not only for the interns and the authors but for researchers as well.
“This is a common rhetorical strategy not only for the interns-and the authors of this paper-but for researchers as well [53,55].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [53] 53. Kevin Tang, Terra Mae Gasque, Rachel Donley, and Anne Sullivan. 2023. "It Has to Ignite Their Creativity": Opportunities for Generative Tools for Game Masters. In Proceedings of the 18th International Conference on the Foundations of Digital Games. Association for Computing Machinery, New York, NY, USA, 1-6. source
- cites [55] 55. Veera Vimpari, Annakaisa Kultima, Perttu Hämäläinen, and Christian Guckels- berger. 2023. " An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionals. arXiv preprint arXiv:2302.12601 (2023). source
In §5.1 (p. 18), the researchers report that almost everyone they interviewed considered text-to-image AI another tool in their creative process, and they themselves use “tools” language. The paper does not establish that this is a common rhetorical strategy among researchers generally; that broader part of the claim is unsupported. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Findingown data
The experiences and concerns expressed in group interviews (differences between programmers and artists, etc.) continued to be repeated in individual interviews in following weeks.
“A major milestone occurred in week 4 of the program; shortly after the group interviews in week 3, the research team observed that the experiences and concerns expressed in these group interviews (differences between programmers and artists, etc.) continued to be repeated in individual interviews in following weeks.”
Quote in the paperSubstantial claim - Findingown data
For the interns, their ethical commitments to fellow game developers and the future of their profession were as important as their practical concerns about usability, utility, and efficacy of GAI tools.
“For the interns, their ethical commitments to fellow game developers and the future of their profession were as important as their practical concerns about usability, utility, and efficacy of GAI tools.”
Quote in the paperSubstantial claim - Findingnone given
The case of GAI integration was not a straightforward adoption.
“We present a case of GAI integration that was not a straightforward adoption.”
Quote in the paperSubstantial claim - Findingnone given
There was a disconnect between the observed perceptions of the interns and those of the program's directors regarding the potential benefit of using GAI technology.
“Prompted by a disconnect between the observed perceptions of the interns and those of the program's directors-particularly regarding the potential benefit of using GAI technology-these questions shifted the focus from what the interns were doing to why they were doing it.”
Quote in the paperSubstantial claim
- Findingown data
The interns were actively developing a new professional culture both with and against generative AI.
“Focusing on the interns' resistance, negotiation, and reimagining, we show that the interns were actively developing a new professional culture both with and against generative AI.”
Quote in the paperSubstantial claim - Findingown data
Interns are not closed to the entire concept of generative AI; there is a hopeful sense among them that there are potential usable, ethically acceptable, low-friction GAI tools in the future.
“At the same time, they are not closed to the entire concept of generative AI; rather, there is a hopeful sense among the interns that there are potential usable, ethically acceptable, low-friction GAI tools in the future.”
Quote in the paperSubstantial claim - Findingown data
The artists in the study tend to consider the broader community of artists in the game industry as their reference point when discussing the implications of GAI on their work.
“For instance, the artists in our study, who might have a strong sense of the distinctiveness of their artistic taste, tend to consider the broader community of artists in game industry as their reference point when they discuss the implications of GAI on their work.”
Quote in the paperSubstantial claim - Findingown data
Many programmers found workflow-assistive tools more valuable than workflow-replacement tools.
“Many of the programmers found this to be the case with existing technologies that are available, finding workflow-assistive tools more valuable than workflow-replacement tools:”
Quote in the paperNot a substantial claim - Findingown data
Interns expressed a shared concern that there are taken-for-granted assumptions about GAI due to a desire to increase efficiency of development tasks.
“Interns also expressed a shared concern that there are taken-forgranted assumptions about GAI due to a desire to increase efficiency of development tasks.”
Quote in the paperNot a substantial claim - Findingnone given
The most strongly expressed resistance to GAI came from artists who had ethical concerns about copyright and art theft.
“The most strongly expressed resistance to GAI came from artists who had ethical concerns about topics such as copyright and art theft:”
Quote in the paperNot a substantial claim - Findingcitation
Most general-purpose tools SIP interns explored were found to be lacking for their specific needs.
“Amershi et al. [3] acknowledge the tradeoff between generality and specialization, and most of the general-purpose tools SIP interns explored were found to be lacking for their specific needs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] 3. Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N Bennett, Kori Inkpen, et al. 2019. Guidelines for human-AI interaction. In Proceedings of the 2019 chi conference on human factors in computing systems. Association for Computing Machinery, New York, NY, USA, 1-13. source
- Findingown data
Artists tended to view GAI tools as designed to replace them.
“This was particularly true in the case of artists, who tended to view GAI tools as designed to replace them; many expressed interests in hypothetical or yet-to-be-released tools, such as Adobe's Firefly, that offered tools to assist their workflow rather than replace it.”
Quote in the paperNot a substantial claim - Findingown data
Many SIP interns refused to use GAI tools for any part of the development process despite repeated encouragement from the program director.
“Yet, our findings suggest that an overwhelming majority of the interns were skeptical of the claimed benefits of using GAI in their workflows, and that many even refused to use GAI tools for any part of the development process despite repeated encouragement from the program director.”
Quote in the paperSubstantial claim - Findingown data
The specific type of work being done and the GAI tools available resulted in various levels of friction regarding SIP interns' perspective and willingness to engage with GAI tools.
“The specific type of work being done and the GAI tools available to assist in the workflow of relevant tasks resulted in various levels of friction regarding SIP intern's perspective and willingness to engage with GAI tools.”
Quote in the paperSubstantial claim - Findingown data
Context-specific tools that enhance the capabilities and workflow of the worker, rather than tools that replace the worker, were well-received by interns.
“Overall, context-specific tools that enhance the capabilities and workflow of the worker, rather than tools that replaced the worker, were also well-received.”
Quote in the paperNot a substantial claim - Findingreasoning
Much of the interns' resistance to GAI is traceable to a resistance to dominant ideologies and politics in the underlying technologies.
“Much of the interns' resistance to GAI is traceable to a resistance to dominant ideologies and politics in the underlying technologies.”
Quote in the paperSubstantial claim - Findingreasoning
Art interns struggled to effectively find places to fit GAI into their workflow.
“One reason for this is that art interns struggled to effectively find places to fit GAI into their workflow.”
Quote in the paperSubstantial claim - Findingown data
SIP interns directly expressed legal and ownership concerns regarding the explicit use of others' work for their own benefit and viewed GAI in this way.
“While many artists may look to the work of others for inspiration, SIP interns directly expressed legal and ownership concerns regarding the explicit use of others' work for their own benefit and viewed GAI in this way.”
Quote in the paperNot a substantial claim - Findingown data
Interns were largely unwilling or unable to imagine ways to use existing off-the-shelf tools to augment their workflows without breaching ethical boundaries.
“However, they were largely unwilling or unable to imagine ways to use existing off-the-shelf tools in this way.”
Quote in the paperNot a substantial claim - Findingown data
Many interns brought up Adobe Firefly in a positive light.
“Adobe Firefly, which uses training data exclusively owned by Adobe, was brought up by many interns in a positive light:”
Quote in the paperNot a substantial claim - Findingown data
For artist interns, GAI-generated assets were not game-ready.
“Ultimately, for the artist interns, GAI-generated assets were not game-ready, and often lacked consistency.”
Quote in the paperSubstantial claim - Findingown data
Many interns expressed positive views of GAI tools that might augment their workflows without breaching perceived ethical boundaries.
“Many interns expressed positive views of GAI tools that might have the potential to augment their workflows without breaching perceived ethical boundaries.”
Quote in the paperNot a substantial claim - Findingown data
The tools that saw the most use and acceptance amongst interns, such as GitHub Copilot, fit neatly into their existing workflows, emulating and expanding tools already at their disposal.
“The tools that saw the most use and acceptance amongst the interns, such as GitHub Copilot, were able to fit neatly into their existing workflows, emulating and expanding the tools already at their disposal.”
Quote in the paperSubstantial claim - Findingown data
For many interns, the promise of GAI did not match its payoff.
“For many interns, the promise of GAI did not match its payoff; while some found it useful for certain tasks like predictive text for coding, the overwhelming perspective was that GAI often produces imperfect or misleading results.”
Quote in the paperSubstantial claim - Findingcitation
Programmers noted that using code generation tools can be like a natural continuation of searching for code online, fitting systemic problem solving and bricolage.
“Programmers noted using code generation tools can be like a natural continuation of searching for code online, which fits into two forms of common programming process: systemic problem solving approaches [14] (i.e.searching for solutions to well-defined problems) and bricolage [29,34] (i.e.mixing found code toward a workable solution).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [14] 14. Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, and Shriram Krishna- murthi. 2018. How to design programs: an introduction to programming and computing. MIT Press.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [29] 29. Annie Li, Madeline Endres, and Westley Weimer. 2022. Debugging with stack overflow: Web search behavior in novice and expert programmers. In Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Software Engineering Education and Training. Association for Computing Machinery, New York, NY, USA, 69-81. source
- cites [34] 34. Alex McLean and Geraint A Wiggins. 2010. Bricolage Programming in the Creative Arts.. In PPIG. Citeseer, 18.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
SIP interns did not think that working on an AI-generated image would make it their own creation.
“They did not think that working on, say, AI-generated image would make it their own creation.”
Quote in the paperNot a substantial claim - Findingown data
Generated assets did not fulfill usability requirements such as multiple layers for in-game animations and specific image resolution values.
“Concerns were also expressed about the usability of generated products.Many of the artist-produced images used multiple layers for in-game animations, as well as specific image resolution values; qualities which the generated assets did not fulfill.”
Quote in the paperSubstantial claim - Findingown data
Interns creating art assets avoided using GAI for most of their work.
“Unlike the programmers, interns creating art assets for their games avoided using GAI for most of their work.”
Quote in the paperNot a substantial claim - Findingown data
Many interns interpreted the push for using GAI as motivated by managerial concerns for efficiency.
“The SIP director hoped to prepare the interns for the uncertain future, in alignment with common motivations for incorporating AI into the game design process [9], but many interns interpreted the push for using GAI as motivated by managerial concerns for efficiency.”
Quote in the paperNot a substantial claim - Findingown data
Many interns avoided GAI entirely, claiming it would take less time to handcraft the output they sought rather than working with a generator.
“This resulted in many interns avoiding the technology entirely, claiming it would take less time to simply handcraft the output they sought, rather than working with a generator to provide something useable.”
Quote in the paperSubstantial claim - Findingown data
An overwhelming majority of SIP interns were skeptical of the claimed benefits of using GAI in their workflows.
“Yet, our findings suggest that an overwhelming majority of the interns were skeptical of the claimed benefits of using GAI in their workflows, and that many even refused to use GAI tools for any part of the development process despite repeated encouragement from the program director.”
- Also stated in: § 4.1 Friction in Workflow · plain
“Despite the program's directors encouraging interns to use GAI, the most common sentiment expressed in interviews was a general skepticism about GAI.”
Quote in the paperSubstantial claim - Also stated in: § 4.1 Friction in Workflow · plain
- Findingown data
Most interns explicitly expressed awareness that the nature of their work will change due to GAI in the near future.
“We want to be clear that most interns explicitly expressed their awareness of the possibility that the nature of their work will change due to GAI in the near future.”
Quote in the paperNot a substantial claim - Findingown data
Additional resistance to GAI tools came from a lack of efficiency and quality of GAI-generated art.
“Additional resistance to GAI tools came from a lack of efficiency and quality of GAI-generated art.”
Quote in the paperNot a substantial claim - Findingown data
Even for those who chose to use GAI tools, they found themselves needing to check the result against their own knowledge or other sources.
“Even for those who chose to use GAI tools, they found themselves needing to check the result against their own knowledge or other sources; this workflow simply aligned more closely with what programmers already did.”
Quote in the paperNot a substantial claim - Findingown data
Many interns who expressed resistance to using GAI tools were far more open to tools trained off of voluntarily-provided data.
“Many interns who expressed resistance to using GAI tools were far more open to tools that were trained off of voluntarily-provided data.”
Quote in the paperSubstantial claim - Findingcitation
SIP programming interns found use in GitHub Copilot for auto-complete code suggestions.
“SIP programming interns found use in tools such as GitHub Copilot [16]a GAI software that assists programmers with features such as auto-complete code suggestions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16] 16. GitHub. 2023. GitHub Copilot. https://github.com/features/copilot.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
Interns expressed mixed thoughts about how GAI would factor into their career prospects.
“Looking to their professional futures, the interns also expressed mixed thoughts about how GAI would factor into their career prospects.”
Quote in the paperNot a substantial claim - Findingnone given
In their first publicly available games, the interns were already asked to engage with GAI.
“In their first publiclyavailable games, they already were asked to engage with GAI.”
Quote in the paperSubstantial claim - Findingnone given
The interns' initial response to GAI was not full-scale adoption without critique.
“As we discussed above, their initial response was not a full-scale adoption without a critique.”
Quote in the paperSubstantial claim - Findingown data
Many interviewed artists expressed that using GAI took more time than drawing normally.
“This sentiment was expressed by many of the interviewed artists.”
Quote in the paperNot a substantial claim - Findingown data
Almost all artist-identifying interns identified a deep misalignment between GAI and related computational methods and sources of artistic creativity and their creative workflow.
“Our fieldwork conversations with the interns who identify as artists suggested a similar conclusion: almost all of these interns identified a deep misalignment between GAI and related computational methods, on the one hand, and sources of artistic creativity and their creative workflow, on the other.”
Quote in the paperSubstantial claim - Findingown data
These ethical concerns prevented most artists from pursuing GAI-generated art for their final products.
“These concerns prevented most artists from pursuing GAI-generated art for their final products:”
Quote in the paperSubstantial claim - Findingown data
Artists expressed positive attitudes regarding hypothetical GAI tools that contributed to their workflow rather than replacing it.
“These artists, however, expressed positive attitudes regarding hypothetical GAI tools that contributed to their workflow rather than replacing it.”
Quote in the paperSubstantial claim - Findingown data
When the interns expressed skepticism, their ethical commitments to fellow game developers and the future of their profession were as important as their practical concerns about usability, utility, and efficacy of GAI tools.
“When the interns expressed their skepticism, their ethical commitments to fellow game developers and the future of their profession were as important as their practical concerns about usability, utility, and efficacy of GAI tools.”
Quote in the paperSubstantial claim - Findingreasoning
The interns noted some uncertainty around how to effectively use GAI tools, driving much of the resistance in terms of efficacy and usability.
“The interns noted some uncertainty around how to effectively use GAI tools, driving much of the resistance in terms of efficacy and usability.”
Quote in the paperSubstantial claim - Findingown data
The sample prompts students gave as examples of ineffective and unethical use were quite vague, pointing to a lack of developed skillset in prompt design.
“The sample prompts students gave as examples of both ineffective and unethical (e.g.referring to popular art websites) were quite vague, and-while artists especially noted that it is faster and more desirable to draw than to engineer a prompt-this still points to a lack of developed skillset in prompt design.”
Quote in the paperSubstantial claim - Findingown data
The interns resisted, negotiated, and reimagined GAI as they learned to navigate the changing game design landscape.
“The interns resisted, negotiated, and reimagined GAI as they learned to navigate the changing game design landscape.”
Quote in the paperSubstantial claim - Findingown data
Despite hype around GAI in creative industries, the adoption of GAI into game development in this program was not straightforward.
“We found that despite the hype around GAI in creative industries, the adoption of GAI into game development in this program was not straightforward.”
Quote in the paperSubstantial claim - Findingown data
Artists conflated their ethical considerations with legal concerns, especially copyright matters.
“Artists, in contrast, conflated their ethical considerations with legal concerns, especially with copyright matters.”
Quote in the paperNot a substantial claim - Interpretationcitation
A major reason for the difference in experience between programming interns and artists is their underlying ways of thinking and knowing.
“A major reason for the difference in experience for programming interns as opposed to the artists is their underlying ways of thinking and knowing.”
Quote in the paperSubstantial claim- Rests on an assumption: Computer scientists are trained through disciplinary education to understand their craft as iterative and modular, and their workflow as breaking down problems into solvable sub-problems.
- Interpretationreasoning
GAI mattered to interns not simply because of its technical capabilities as tools, but mainly through its affordances as materials in a meaningful design process.
“This suggests that GAI mattered not simply because of its technical capabilities as tools, but mainly through its affordances as materials in a meaningful design process.”
Quote in the paperSubstantial claim - Interpretationown data
A critical distinction between art and programming in using GAI tools comes from their differing perceptions of the ethics of professional identity.
“A critical distinction between art and programming in the context of using GAI tools in their workflow comes from their differing perceptions of the ethics of professional identity.”
Quote in the paperSubstantial claim - Interpretationreasoning
The idea of 'GAI as simply a tool' does not help understand the interns' process of figuring out how to work with GAI.
“Yet, tools are commonly viewed as passive, manipulable, and unthreatening, and, as such, the idea of 'GAI as simply a tool' does not help us understand the interns' process of 'figuring out' how to work with GAI.”
Quote in the paperSubstantial claim- Rests on an assumption: Tools are commonly viewed as passive, manipulable, and unthreatening.
- Interpretationreasoning
Because of the space of experimentation and co-learning provided in SIP, interns were able to prioritize figuring out how to make GAI work for them rather than being forced to make themselves work for the technology.
“This comparison is important: primarily because of the space of experimentation and co-learning provided in SIP, the interns were able to prioritize the process of figuring out how to make this technology work for them, rather than being forced to make themselves work for the technology.”
Quote in the paperSubstantial claim - Interpretationown data
Artists had deeper ethical questions because the GAI tools they considered produced the final product of their work rather than a small piece of it.
“Artists had deeper ethical questions to grapple with because the GAI tools they were considering produced the final product of their work rather than a small piece of it.”
Quote in the paperNot a substantial claim - Interpretationcitation
The commodification of artworks produced by peers and aspirational figures via taking their work without consent for training data further exacerbates the divide between GAI narratives and creators' values.
“The commodification of the artworks produced by both their peers and those in positions they aspire to via taking their work without consent for training data further exacerbates this divide [8].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] 8. Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. On the dangers of stochastic parrots: Can language models be too big?. In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency. Association for Computing Machinery, New York, NY, USA, 610-623. source
- Interpretationreasoning
Specialized tools designed with and for artists would benefit artistic workflows more than general purpose ones.
“This seemed to be one of the major factors that separated GAI tools for programming from those for art, indicating that specialized tools designed with and for artists would benefit artistic workflows more than general purpose ones.”
Quote in the paperSubstantial claim - Interpretationcitation
Current narratives of GAI tools as productivity-enhancers, timesavers, and replacement labor run counter to the values held by this generation of artists, designers, and (with some exception) programmers.
“Current narratives of these tools as productivity-enhancers, timesavers, and replacement labor [17,42,44] run counter to the values held by this generation of artists, designers, and (with some exception) programmers.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [17] 17. Stefan Freyr Gudmundsson, Philipp Eisen, Erik Poromaa, Alex Nodet, Sami Pur- monen, Bartlomiej Kozakowski, Richard Meurling, and Lele Cao. 2018. Human- like playtesting with deep learning. In 2018 IEEE Conference on Computational Intelligence and Games (CIG). IEEE, 1-8. source
- cites [42] 42. Johannes Pfau, Jan David Smeddinck, and Rainer Malaka. 2017. Automated game testing with icarus: Intelligent completion of adventure riddles via unsupervised solving. In Extended abstracts publication of the annual symposium on computer- human interaction in play. Association for Computing Machinery, New York, NY, USA, 153-164. source
- cites [44] 44. Cale Plut and Philippe Pasquier. 2020. Generative music in video games: State of the art, challenges, and prospects. Entertainment Computing 33 (2020), 100337. source
- Premisecitation
Reconceptualizing GAI as a medium for expression is already common in the procedural content generation (PCG) research literature.
“This reconceptualization of GAI as a medium for expression is already common in the procedural content generation (PCG) research literature [21,46,48].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [21] 21. Mark Hendrikx, Sebastiaan Meijer, Joeri Van Der Velden, and Alexandru Iosup. 2013. Procedural content generation for games: A survey. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 9, 1 (2013), 1-22. source
- cites [46] 46. Noor Shaker, Julian Togelius, and Mark J Nelson. 2016. Procedural content generation in games. (2016). source
- cites [48] 48. Tanya Short and Tarn Adams. 2017. Procedural generation in game design. CRC Press. source
- Premisecitation
Artists are trained in artistic and aesthetic ways of knowing, including perceptual awareness, creative interpretation, and qualitative awareness.
“Artists, on the other hand, are trained in artistic and aesthetic ways of knowing.Not only do they typically have less formal training in computational thinking, but many are trained to think in ways that sit outside computational thinking.Artistic ways of knowing include perceptual awareness, creative interpretation, and qualitative awareness [19].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] 19. Joanne Haroutounian. 2019. Artistic Ways of Knowing: Thinking Like an Artist in the STEAM Classroom. Converting STEM into STEAM Programs: Methods and Examples from and for Education (2019), 169-183. source
- Interpretationreasoning
The emerging culture shows an implicit concern for a future that diverges from prevalent corporate talk around AI.
“We see in this emerging culture an implicit concern for a future that diverges from prevalent corporate talk around AI.”
Quote in the paperSubstantial claim - Interpretationreasoning
The internship's heavy focus on producing quality work for a publishable game made it unsurprising that interns did not prioritize developing prompt design skillsets further, especially given uncertain payoff.
“Since the internship had such a heavy focus on producing quality work in the service of developing a publishable game, it is perhaps unsurprising that the interns did not prioritize developing these skillsets further, especially since there was an uncertain payoff to such effort.”
Quote in the paperNot a substantial claim - Interpretationreasoning
As the interns looked for ways to make GAI work for their design process, they were actively building components of an emerging professional culture both with and against GAI.
“As the interns were looking for ways to make GAI work for their design process (instead of subsuming their design process under GAI functionalities), they were actively building components of an emerging professional culture both with and against GAI.”
Quote in the paperSubstantial claim - Interpretationreasoning
This new culture blends the pragmatism of tool use, the ethics of professional belonging, and the creative agency of the developer.
“This new culture blends the pragmatism of tool use, the ethics of professional belonging, and the creative agency of the developer.”
Quote in the paperSubstantial claim - Interpretationreasoning
The interns' resistance was primarily a response to their need to navigate the changing game design landscape.
“We argue that it is critical the community take early career professionals' skepticism seriously, especially as their resistance was primarily a response to their need to navigate the changing game design landscape.”
Quote in the paperSubstantial claim - Study design and conductcitation
Because the SIP strongly encourages interns to make games that fit an existing mobile genre, the study has no insight into their perceptions or interest in using GAI as a mechanic or in support of player experience.
“And, since the SIP strongly encourages interns to make games that fit an existing mobile genre (for scoping reasons, as the games must be published at the end of the program), we have no insight into their perceptions or interest in using GAI as a mechanic or in support of player experience [43].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] 43. Johannes Pfau, Jan David Smeddinck, and Rainer Malaka. 2020. The case for usable ai: What industry professionals make of academic ai in video games. In Extended abstracts of the 2020 annual symposium on computer-human interaction in play. Association for Computing Machinery, New York, NY, USA, 330-334. source
- Classified as probably not a substantial claim. 46
- May combine two claims. 38
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationResearchers and developers have seen much success in bringing AI to bear on major problems in the industry, such as cheat detection in competitive games, as well as to improve common development processes such as playtesting, bug reporting, and other labor intensive aspects of game production.
“Researchers and developers have seen much success in bringing AI to bear on major problems in the industry, such as cheat detection in competitive games [26], as well as to improve common development processes such as playtesting, bug reporting, and other labor intensive aspects of game production [17,42].”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [26] 26. Aditya Jonnalagadda, Iuri Frosio, Seth Schneider, Morgan McGuire, and Joohwan Kim. 2021. Robust vision-based cheat detection in competitive gaming. Pro- ceedings of the ACM on Computer Graphics and Interactive Techniques 4, 1 (2021), 1-18. source
- cites [17] 17. Stefan Freyr Gudmundsson, Philipp Eisen, Erik Poromaa, Alex Nodet, Sami Pur- monen, Bartlomiej Kozakowski, Richard Meurling, and Lele Cao. 2018. Human- like playtesting with deep learning. In 2018 IEEE Conference on Computational Intelligence and Games (CIG). IEEE, 1-8. source
- cites [42] 42. Johannes Pfau, Jan David Smeddinck, and Rainer Malaka. 2017. Automated game testing with icarus: Intelligent completion of adventure riddles via unsupervised solving. In Extended abstracts publication of the annual symposium on computer- human interaction in play. Association for Computing Machinery, New York, NY, USA, 153-164. source
Probably not a substantial claim: may not pass S2 (checkable).
PremisecitationGames sit at the intersection of computational technologies, design, media, and arts, making them a rich domain for studying both the creation and impact of generative AI.
“As games sit at the intersection of computational technologies, design, media, and arts they are a rich domain for studying both the creation and impact of generative AI [31,55].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [31] 31. Antonios Liapis, Georgios N Yannakakis, and Julian Togelius. 2014. Computa- tional game creativity. 5th International Conference on Computational Creativity (ICCC) 2014.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [55] 55. Veera Vimpari, Annakaisa Kultima, Perttu Hämäläinen, and Christian Guckels- berger. 2023. " An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionals. arXiv preprint arXiv:2302.12601 (2023). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRecent studies investigate the impact of technology on design and creative workflows, and the potential for its usage as a design support tool.
“This has resulted in a number of recent studies that investigate the impact of technology on design and creative workflows, and the potential for its usage as a design support tool (e.g.[2,11,20,24,58]).”
Quote in the paperNot a substantial claim3 of 5 sources checked- cites [2] 2. Aakash Ahmad, Muhammad Waseem, Peng Liang, Mahdi Fahmideh, Mst Shamima Aktar, and Tommi Mikkonen. 2023. Towards human-bot collaborative software architecting with chatgpt. In Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering. Association for Computing Machinery, New York, NY, USA, 279-285. source
- cites [11] 11. Sebastian Deterding, Jonathan Hook, Rebecca Fiebrink, Marco Gillies, Jeremy Gow, Memo Akten, Gillian Smith, Antonios Liapis, and Kate Compton. 2017. Mixed-initiative creative interfaces. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 628-635. source
The Introduction and Background (page not available) discusses how mixed-initiative interfaces can support creative work, including accelerating iterative exploration. But this paper is a workshop proposal that describes potential benefits and research directions; our copy does not show it investigating technology’s actual impact on design or creative workflows. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [20] 20. Maria Hartikainen, Kaisa Väänänen, Anu Lehtiö, Saara Ala-Luopa, and Thomas Olsson. 2022. Human-Centered AI Design in Reality: A Study of Developer Companies' Practices: A study of Developer Companies' Practices. In Nordic human-computer interaction conference. Association for Computing Machinery, New York, NY, USA, 1-11. source
- cites [24] 24. Nanna Inie, Jeanette Falk, and Steve Tanimoto. 2023. Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AI. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1-8. source
- cites [58] 58. Georgios N Yannakakis, Antonios Liapis, and Constantine Alexopoulos. 2014. Mixed-initiative co-creativity. In 9th International Conference on the Foundations of Digital Games. Foundations of Digital Games, Fort Lauderdale, 1-8.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe 2023 SIP intern cohort is more diverse than the games industry overall.
“Self-reported demographic information from a survey sent out by the program's Managing Director-which was completed by 19 (out of 26) internsreveals that this group is more diverse than the games industry overall [28].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] 28. Shruti Kumar, Eva Kwan, Johanna Weststar, and Trevor Coppins. 2021. Diversity in the Game Industry Report. Developer Satisfaction Survey 2021 (2021).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataTowards the second half of the program, new perspectives around GAI tools began to emerge.
“Towards the second half of the program, as the practices of the interns became more ingrained, new perspectives around GAI tools began to emerge, allowing us to expand on our initial findings regarding tool usage.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEarly career game developers are trying not only to navigate new technical capabilities, but also to develop ethical attitudes, investigate new workflows, and develop fluency in AI technologies.
“Our findings show that early career game developers are trying not only to navigate new technical capabilities, but also to develop ethical attitudes, investigate new workflows, and develop fluency in AI technologies.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe artist interns in our study report harms to individual reputation, intellectual property, and financial risk.
“Jiang et al. find that artists identify harms to individual reputation, intellectual property, and financial risk that the artist interns in our study also report [25], and makes recommendations for policy change and counter-AI technologies to counteract these harms.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOur study of the SIP community revealed predominantly a sense of resistance against the use of GAI and skepticism over both its utility and appropriateness.
“Our study of this community revealed predominantly a sense of resistance against the use of GAI and skepticism over both its utility and appropriateness.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenProgramming interns initially had ethical concerns about GAI but changed their perspectives over time.
“The use of this technology brought some ethical concerns at first, but programming interns changed their perspectives over time.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningThe SIP interns actively responded to the possibilities and limits of GAI tools, unlike the popular hype in which GAI is imposed with anticipation of increased efficiency.
“Although many in the game development industry have found themselves in a popular hype in which GAI is being 'imposed' on them with an anticipation of increased efficiency, the SIP interns actively responded to the possibilities and limits of GAI tools.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataProgrammers seemed to accept GAI as an eventual inevitability.
“And the programmers seemed to accept GAI as an eventual inevitability:”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe early career game developers in the study see their future connected to others in the industry, unlike the methodological individualism of economic impact predictions.
“Unlike the 'methodological individualism' of future predictions of economic impact, the early career game developers we worked with see their future connected to others in the industry.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningWith this shift, GAI stopped registering as a potential ethical problem for programming interns' work, even though some continued to acknowledge ethical questions in non-programming applications.
“With this shift, GAI stopped registering as a potential ethical problem for their work even though some of them continued to acknowledge ethical questions in non-programming applications of GAI.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataProgrammers found GAI tools to meaningfully assist in their workflows, increasing efficiency and quality of their work.
“Programmers, in contrast, found GAI tools to meaningfully assist in their workflows, increasing efficiency and quality of their work.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataProgramming interns viewed bits of code as a solution to a problem rather than something that belongs to them, and therefore had fewer issues using technology trained on data that may have been scraped from the internet.
“Programming interns expressed that they viewed bits of code as a solution to a problem rather than something that belongs to them, and therefore had fewer issues using technology trained on data that may have been scraped from the internet.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataArtists perceived more vulnerability to lose jobs or to have a less satisfying and meaningful experience in performing their work, and expressed that the tools at their disposal were not designed for them.
“Contrarily, artists perceived more vulnerability to lose jobs or to have a less satisfying and meaningful experience in performing their work; they also expressed that the tools at their disposal were simply not designed for them.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSIP gave interns freedom to use GAI, with no requirement to do so.
“One key difference between SIP and a more traditional professional workplace is the amount of freedom given to the interns.While they were all encouraged to use GAI, there was no requirement to do so.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe interns showed initial resistance and continuing reluctance to use GAI.
“Given the massive amount of media attention given to GAI, we were surprised to find the interns' initial resistance and continuing reluctance to use it.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWith the exception of some programmers, students largely rejected GAI as misaligned with their process, resulting in concerns about utility and efficacy.
“With the exception of some of the programmers, who were capable of identifying similarities between using GAI and other forms of searching for solutions, students largely rejected GAI as being in misalignment with their process, resulting in concerns about both utility and efficacy.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingcitationThe SIP director hoped to prepare interns for the uncertain future, in alignment with common motivations for incorporating AI into game design.
“The SIP director hoped to prepare the interns for the uncertain future, in alignment with common motivations for incorporating AI into the game design process [9], but many interns interpreted the push for using GAI as motivated by managerial concerns for efficiency.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] 9. Michael Cook. 2022. Optimists at Heart: Why Do We Research Game AI?. In 2022 IEEE Conference on Games (CoG) (Beijing, China). IEEE, IEEE, 560-567. source
Classified as probably not a substantial claim.
Findingown dataArtists expressed viewpoints on data training and compensation practices.
“Artists also expressed viewpoints on data training and compensation practices:”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
Findingown dataThe SIP director expected the game industry to use GAI tools as long as they can do so without getting sued.
“This was in contrast to the expectations of the director:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSome interns believed that those without the knowledge and experience necessary to leverage GAI may be left behind in professional contexts.
“Some also believed that those without the knowledge and experience necessary to leverage this technology game may be left behind in professional contexts.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataArtists grappled with more nuanced challenges; GAI tools available at the time for artists focused on generating the final artistic product, which interns struggled to integrate into their process without dramatically changing how they work.
“The artists, on the other hand, grappled with more nuanced challenges; the GAI tools available at the time for artists were focused on generating the final artistic product, which the interns struggled to integrate into their process without dramatically changing how they work.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataProgrammers initially hesitated to integrate GAI tools into their workflow, but their viewpoint shifted when they found practical, easy-to-implement methods to leverage specific tools in support of their typical workflow.
“While programmers hesitated to integrate GAI tools into their workflow initially, their viewpoint of the technology shifted when they found practical, easy-to-implement methods to leverage specific tools in support of their typical workflow.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe interns did not use video generation tools, and there was only one intern responsible for audio content.
“For example, the interns did not use video generation tools, and there was only one intern who was responsible for audio content.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe interns often integrated their comments about ethical concerns with GAI with their practical concerns; this was especially notable for programmers, one of whom treated ethical concerns as easily overcome once they found utility.
“We note that the interns often integrated their comments about ethical concerns with GAI with their practical concerns; this is especially notable for programmers, one of whom treated the ethical concerns as ones that were easily overcome once they found utility in the tools.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe collection of this data was expected to pose minimal to no risk to the research participants.
“The focus of all recorded data was on professional activities from a public-facing organization, and therefore the collection of this data was expected to pose minimal to no risk to the research participants.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningParticipant observation provided critical context in analyzing the interview quotes and played a vital role in forming our conclusions.
“While the data collection from participant observation did not generate quotable material for publication, these aspects of our research provided critical context in analyzing the interview quotes and played a vital role in forming our conclusions.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationDevelopers have found limitations in the variety of content generators are able to produce; players are often capable of identifying patterns between generated content.
“Furthermore, developers have found limitations in the variety of content generators are able to produce; players are often capable of identifying patterns between generated content [47].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] 47. Emily Short. 2016. Bowls of Oatmeal and Text Generation. https://emshort.blog/ 2016/09/21/bowls-of-oatmeal-and-text-generation/.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable).
Study design and conductreasoningInterviews with SIP participants and observation of the program were the most effective research method due to the highly contextual nature of the games industry.
“Interviews with SIP participants and observation of the program were the most effective research method due to the highly contextual nature of the games industry.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenEach week of the 11-week program, the research team performed an iterative coding process-gathered field notes and interview data were reviewed, discussed, and coded, allowing each week's progress to inform further interpretation of the data.
“Each week of the 11-week program, the research team performed an iterative coding process-gathered field notes and interview data were reviewed, discussed, and coded, allowing each week's progress to inform further interpretation of the data.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe research conducted by the authors remains independent, and our research activities did not interfere with SIP activities.
“The research conducted by the authors remains independent, and our research activities did not interfere with SIP activities even though our conversations with the directors revealed an alignment between our research and the motivations of SIP.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe experiences of our embedded research better allowed us to capture the richness of perspectives conveyed in interviews, as well as elements that could not be captured in the interviews.
“The experiences of our embedded research better allowed us to capture the richness of perspectives conveyed in interviews, as well as elements that could not be captured in the interviews.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGenerative AI offers potential to expand the type of content that can be generated, such as more complex generative audio and music used to increase variety and interactivity of game music compared to non-generative methods, as well as the range of users that can make use of generators; producing content using GAI can take less programming expertise than PCG, instead relying on prompt design技能.
“Generative AI offers potential to expand the type of content that can be generated, such as more complex generative audio and music used to increase variety and interactivity of game music compared to non-generative methods [44], as well as the range of users that can make use of generators; producing content using GAI can take less programming expertise than PCG, instead relying on prompt design”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] 44. Cale Plut and Philippe Pasquier. 2020. Generative music in video games: State of the art, challenges, and prospects. Entertainment Computing 33 (2020), 100337. source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
PremisereasoningGiven the prevalence of PCG in games, it would be expected that many game developers would be familiar with some of the common ramifications of partially or fully-automating design processes.
“Furthermore, given the prevalence of PCG in games, it would be expected that many game developers would be familiar with some of the common ramifications of partially or fully-automating design processes.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationGenerative Artificial Intelligence (GAI) stands to significantly impact labor and design practices across a wide variety of industries.
“Generative Artificial Intelligence (GAI) stands to significantly impact labor and design practices across a wide variety of industries [4,22,36].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [4] 4. Janna Anderson and Lee Rainie. 2023. As AI Spreads, Experts Predict the Best and Worst Changes in Digital Life by 2035.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [22] 22. John Howard. 2019. Artificial intelligence: Implications for the future of work. American journal of industrial medicine 62, 11 (2019), 917-926. source
- cites [36] 36. Michael Muller, Lydia B Chilton, Anna Kantosalo, Charles Patrick Martin, and Greg Walsh. 2022. GenAICHI: generative AI and HCI. In CHI conference on human factors in computing systems extended abstracts. Association for Computing Machinery, New York, NY, USA, 1-7. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPCG is also used for co-creativity tools to assist with tasks such as level creation, and support tools have emerged to make these systems easier to understand.
“PCG is also used for co-creativity tools to assist with tasks such as level creation [30], and support tools have emerged to make these systems easier to understand [10].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [30] 30. Antonios Liapis, Georgios N Yannakakis, and Julian Togelius. 2013. Sentient sketchbook: computer-assisted game level authoring. 8th International Conference on the Foundations of Digital Games (2013).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [10] 10. Michael Cook, Jeremy Gow, Gillian Smith, and Simon Colton. 2021. Danesh: Inter- active tools for understanding procedural content generators. IEEE Transactions on Games 14, 3 (2021), 329-338. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCreating a useful generator can often take just as much, or more, work than a hand-crafted alternative.
“Creating a useful generator can often take just as much, or more, work than a hand-crafted alternative [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] 48. Tanya Short and Tarn Adams. 2017. Procedural generation in game design. CRC Press. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThis study design was reviewed and approved by Worcester Polytechnic Institute's Institutional Review Board, and all interns and directors completed the informed consent process at the beginning of the program.
“This study design was reviewed and approved by Worcester Polytechnic Institute's Institutional Review Board, and all interns and directors completed the informed consent process at the beginning of the program.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe interviewer was able to jump into the conversation with focused discussions, leading to dense data.
“For that reason, the interviewer was able to jump into the conversation with focused discussions, leading to dense data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGAI is being adopted into many mature industries at a large scale.
“Taken together, we provide a snapshot of the formation of the emerging professional culture at a time when GAI is being adopted into many mature industries at a large scale: [6,40].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [6] 6. Matthias Bastian. 2023. Gaming executives embrace AI tools with open arms. https://the-decoder.com/gaming-executives-embrace-ai-tools-with-open-arms/.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [40] 40. Sabrina Ortiz. 2023. More developers are coding with AI than you think, Stack Overflow survey finds. https://www.zdnet.com/article/more-developers-are- coding-with-ai-than-you-think-stack-overflow-survey-finds/.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenDevelopment practices vary widely from workplace to workplace, and the workflows of individual developers are difficult to be meaningfully quantified for a comparison.
“Development practices vary widely from workplace to workplace, and the workflows of individual developers are difficult to be meaningfully quantified for a comparison.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenRecordings were transcribed using the Descript app and edited to verify accuracy of the transcription.
“Recordings were then transcribed using the Descript app and edited to verify accuracy of the transcription.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe particular identity of the intern participants had no significant impact on the research findings.
“However, given the particular identity of the intern participants had no significant impact on the research findings, we decided to keep the identity of quoted interns anonymous.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPCG has often been used in games to automatically generate large amounts of content and increase variety of content.
“PCG has often been used in games to automatically generate large amounts of content and increase variety of content [21,46].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [21] 21. Mark Hendrikx, Sebastiaan Meijer, Joeri Van Der Velden, and Alexandru Iosup. 2013. Procedural content generation for games: A survey. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 9, 1 (2013), 1-22. source
- cites [46] 46. Noor Shaker, Julian Togelius, and Mark J Nelson. 2016. Procedural content generation in games. (2016). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThere is significant concern regarding AI systems' social and environmental impact, as well as the underlying politics of AI design, implementation, and advocacy.
“There is significant concern regarding AI systems' social and environmental impact, as well as the underlying politics of AI design, implementation, and advocacy [8].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] 8. Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. On the dangers of stochastic parrots: Can language models be too big?. In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency. Association for Computing Machinery, New York, NY, USA, 610-623. source
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone givenThe studio we study is an especially rich domain for studying the impact of GAI tools because its history provides a reasonable baseline for comparison.
“While our research data comes from studying a game production studio, the studio we study is an especially rich domain for studying the impact of GAI tools because its history provides a reasonable baseline for comparison.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisereasoningSIP offers a fruitful ground to explore the reception of GAI in the upcoming generations of the games industry because of its exclusive focus on professional development.
“Because of its exclusive focus on professional development, SIP offers a fruitful ground to explore the reception of GAI in the upcoming generations of the games industry.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMany motivations for GAI in the industry-including reduction of labor costs, enabling new business models, increasing access to game creation, creating new game genres-are ones identified by Cook as common motivations for studying AI in games.
“Many of the motivations for GAI in the industry-including reduction of labor costs, enabling new business models, increasing access to game creation, creating new game genres-are ones identified by Cook as common motivations for studying AI in games [9].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] 9. Michael Cook. 2022. Optimists at Heart: Why Do We Research Game AI?. In 2022 IEEE Conference on Games (CoG) (Beijing, China). IEEE, IEEE, 560-567. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRoblox is integrating generative AI tools to all aspects of their design tools.
“For example, the popular game Roblox is integrating generative AI tools to all aspects of their design tools [52]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] 52. Daniel Sturman. 2023. Revolutionizing Creation on Roblox with Generative AI. https://blog.roblox.com/2023/09/revolutionizing-creation-roblox/.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThere is a long history of the use of AI tools in game development, both for supporting the development process and integrating into play experiences.
“There is a long history of the use of AI tools in game development, both for supporting the development process and integrating into play experiences [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] 48. Tanya Short and Tarn Adams. 2017. Procedural generation in game design. CRC Press. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWithin software development, GAI shows promise in a variety of contexts through automating test case development, debugging, problem-solving, and maintaining legacy code.
“Within the field of software development, a core part of the game industry, GAI shows promise in a variety of contexts through automating test case development, debugging, problem-solving, and maintaining legacy code [12].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] 12. Christof Ebert and Panos Louridas. 2023. Generative AI for Software Practitioners. IEEE Software 40, 4 (2023), 30-38. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationComputational processes shape the way we think and behave.
“Computational processes shape the way that we think and behave [54];”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] 54. Sherry Turkle. 2004. How Computers Change the Way We Think. The Chronicle Review 50, 21 (2004), B26.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationFrom the study's perspective, predictions by consulting companies, business magazines, and futurists look techno-determinist, focusing on the individual user of GAI and overlooking the cultural identities and values that shape a professional community.
“From the perspective of our study, these predictions look rather techno-determinist, as they tend to focus on the individual user of GAI, overlooking the cultural identities and values that shape a professional community.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] 33. Mckinsey and Company. 2023. What's the future of generative AI? An early view in 15 charts. https://www.mckinsey.com/featured-insights/mckinsey-explainers/ whats-the-future-of-generative-ai-an-early-view-in-15-charts.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataMost SIP programmers showed a greater affinity to benefit from GAI because the currently available tools integrated easily into their workflow, resulting in minimal friction.
“We posit that this is a reason why most of the SIP programmers showed a greater affinity to benefit from GAI; many of the programmers expressed that the currently available tools integrated easily into their workflow, resulting in minimal friction.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningTreating generators as materials or as media provides an avenue for empowering artists in creative expression and a richer framework for conceptualizing GAI's role and the design of technologies creators wish to use.
“Treating generators as materials or as media provides both an avenue for empowering artists in creative expression and provides a richer framework for conceptualizing the role GAI can play and the design of technologies that creators wish to use.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningEthics becomes a design concern, and design becomes an ethical question.
“Here, what we see is a blurring of the boundary between ethical inquiry and design inquiry.Ethics becomes a design concern, and design becomes an ethical question.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThis dynamic approach to fieldwork enriched our interview data, allowing us to better capture the depth of the interns' experiences.
“This dynamic approach to fieldwork enriched our interview data, allowing us to better capture the depth of the interns' experiences.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningGAI will have an impact on game developers' shared visions, but game developers actively filter such potential impacts through their interactions with each other in professional spaces from educational programs to Discord channels.
“GAI will have an impact on these visions, but game developers actively filter such potential impacts through their interactions with each other in professional spaces from educational programs to Discord channels.”
Quote in the paperNot a substantial claim- Rests on an assumption: Game developers' shared vision determines what constitutes valuable experiences in games.
- Rests on an assumption: GAI will have an impact on game developers' shared visions.
May combine two claims.
Interpretationown dataGAI has differing amounts of friction for existing workflows in the field, introduces ethical concerns related to agency and ownership, and remains difficult for this audience to use meaningfully.
“GAI has differing amounts of friction for existing workflows in the field, introduces ethical concerns related to agency and ownership, and remains difficult for this audience to use meaningfully.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationown dataThe interns' comments suggest that what is needed is a future of GAI that honors current practices and values held by creators, including respect for existing norms of attribution, ownership, and creator agency.
“The interns' comments-particularly comments by the artists who expressed positive attitudes toward theoretical GAI tools that aligned with their workflows and values-suggest that what is needed is, instead, a future of GAI that honors the current practices and values held by creators, including a respect for existing norms of attribution, ownership, and creator agency.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe community of potential users, how we educate this community to think about and understand GAI, and how we design the tools are deeply interrelated.
“Designing them cannot happen in isolation, however; the community of potential users, how we educate this community to think about and understand GAI, and how we design the tools are deeply interrelated.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe interns' resistance to GAI reflects their skepticism about new ways of thinking and their fear of GAI's dominance in the field.
“we interpret the interns' resistance to GAI as a reflection of their skepticism about these new ways of thinking, as well as their fear of GAI's dominance in the field.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe scope of the study was limited to this particular program, providing only a snapshot of a much larger, international cohort of university students preparing to enter the games industry.
“The scope of the study was limited to this particular program; though it draws students from a number of disciplinary contexts and from different institutions, this is only a snapshot of a much larger, international cohort of university students preparing to enter the games industry.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningAn investigation of this program cannot provide a complete and clear assessment of the state of GAI tools in the games industry, where development projects face commercial pressures, extended project timelines, and a professional environment not designed to facilitate personal or collective growth.
“Furthermore, an investigation of this program cannot provide a complete and clear assessment of the state of GAI tools in the games industry, where development projects face commercial pressures, extended project timelines, and a professional environment that is not specifically designed to facilitate personal or collective growth.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe investigation and use of the term 'GAI' is limited to the GAI uses found in the program.
“Additionally, our investigation and use of the term 'GAI' is limited to the GAI uses found in the program.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe interns were not required to use GAI, so it was not possible to gain insight into reactions to GAI beyond the reasons for their continued resistance.
“The interns were not required to use GAI, so it was not possible to gain insight into reactions to GAI beyond the reasons for their continued resistance to the technology.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Many intersecting aspects of game development are likely to be transformed with recent GAI advances, with the potential to radically alter the future of work in games and adjacent creative industries.
“Since so many intersecting aspects of game development are likely to be transformed with recent GAI advances, with the potential to radically alter the future of work in games and adjacent creative industries, they are also a promising domain for investigating the impact of these advances on young and emerging professionals.”
The paper relies on this without support.
The impacts of GAI in game development remain relatively underexplored.
“GAI applications are in common usage worldwide, yet the impacts of this technology in game development remain relatively underexplored.”
The paper relies on this without support.
Computer scientists are trained through disciplinary education to understand their craft as iterative and modular, and their workflow as breaking down problems into solvable sub-problems.
“Computer scientists are, through their disciplinary education, trained to understand their craft as iterative and modular, and their workflow as one of breaking down problems to solveable sub-problems.”
The authors state this as an assumption.
The SIP interns are a microcosm of the upcoming generation of creative professionals.
“In this section, we explore the implications of their multi-faceted resistance to GAI by viewing the SIP as a microcosm: 1) for the upcoming generation of creative professionals, 2) for uptake of GAI tools in a multidisciplinary community, and 3) for students studying game design and development in higher education.”
The paper relies on this without support.
The interns will become the first 'AI-native' generation of game developers.
“The interns will become the first 'AI-native' generation of game developers.”
The paper relies on this without support.
GAI will very likely become part of the work the interns do in the games industry, and its usage may not be optional.
“It is very likely that GAI will become part of the work they do in the games industry, an environment that will potentially not make its usage optional.”
The paper relies on this without support.
Professional cultures mediate design imagination in game development.
“professional cultures also mediate design imagination in game development.”
The paper relies on this without support.
Game developers' shared vision determines what constitutes valuable experiences in games.
“From the framework of game design, game developers' shared vision determines what constitutes valuable experiences in games.”
The paper relies on this without support.
Tools are commonly viewed as passive, manipulable, and unthreatening.
“Yet, tools are commonly viewed as passive, manipulable, and unthreatening”
The paper relies on this without support.
GAI will have an impact on game developers' shared visions.
“GAI will have an impact on these visions”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The integration of generative AI in game design and development presents both opportunities and challenges, yet much of the current discourse has been shaped by theoretical analyses or data collected through online forms, with limited direct engagement with practitioners.
“The integration of generative AI in game design and development presents both exciting opportunities and significant challenges, yet much of the current discourse has been shaped by theoretical analyses or data collected through online forms, with limited direct engagement with the practitioners at the forefront of this technological shift.”
From Generative AI in Game Design: Enhancing Creativity or Constraining Innovation? (2025) · cites this paper as Boucher et al. 2024
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredThe most notable exceptions are Boucher et al. [5], who situate their findings within debates on authorship and labour in- and outside games, and Alharthi [2], who primarily relates to empirical studies to link production practices with broader questions of creativity and industry adoption.
“The most notable exceptions are Boucher et al. [5], who situate their findings within debates on authorship and labour in- and outside games, and Alharthi [2], who primarily relates to empirical studies to link production practices with broader questions of creativity and industry adoption.”
From Generative AI in Game Development: A Qualitative Research Synthesis (2026) · cites this paper as [5]
Split into 2 atoms — 1 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredProgrammers generally welcome AI tools, viewing code as functional, while artists are cautious, fearing copyright issues and loss of creative control, and worry that AI might replace human creativity.
“Programmers generally welcome AI tools, viewing code as functional. In contrast, artists are cautious, fearing copyright issues and loss of creative control, and worry that AI might replace human creativity.”
From Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI (2024) · cites this paper as [8]
Sections 4.1 and 5.2 report that programming interns became more accepting of generative AI and viewed code as a solution rather than personal creative work. Sections 4.2 and 5.1 describe artists’ copyright concerns, emphasis on agency and authorship, and fear that AI tools could replace them. The claim presents these findings as applying to programmers and artists generally, whereas the paper’s findings concern early-career game-development interns. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTaken together, the findings suggest that ethical ambivalence toward generative AI is not rooted in technological conservatism, but in a desire to protect the visibility of human authorship, ensure equitable labor practices, and uphold the cultural and professional standards of game design.
“Taken together, these findings suggest that ethical ambivalence toward generative AI is not rooted in technological conservatism, but in a desire to protect the visibility of human authorship, ensure equitable labor practices, and uphold the cultural and professional standards of game design (Boucher et al. 2024; Singh et al. 2024).”
From Generative AI in Game Design: Enhancing Creativity or Constraining Innovation? (2025) · cites this paper as Boucher et al. 2024
Boucher et al. [5] studied a US university summer programme simulating commercial game development with small, diverse intern teams.
“Boucher et al. [5] studied a US university summer programme simulating commercial game development with small, diverse intern teams.”
From Generative AI in Game Development: A Qualitative Research Synthesis (2026) · cites this paper as [5]
A study in 2023 found significant skepticism among game developers about generative AI, with concerns about workflow integration, ownership, copyright, and ethical use.
“A study in 2023 [8] found significant skepticism among game developers about generative AI, with concerns about workflow integration, ownership, copyright, and ethical use.”
From Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI (2024) · cites this paper as [8]
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AIdeation: Designing a Human-AI Collaborative Ideation System for Concept Designers
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Generative AI in Game Design: Enhancing Creativity or Constraining Innovation?
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Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond
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“Limited insights in this direction come from professionals engaged in knowledge and creative work [14, 64], indicating that their resistance was primarily driven by skepticism about whether GAI would add value to their work.”
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“[10], meanwhile, found initial resistance among game design interns who were encouraged to use GenAI by program directors.”
DreamGarden: A Designer Assistant for Growing Games from a Single Prompt
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AI Could Have Written This: Birth of a Classist Slur in Knowledge Work
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Art, Identity, and AI: Navigating Authenticity in Creative Practice
Lewis, M. (2025) · Creativity and Cognition · doi:10.1145/3698061.3726959 · Cited by 9 · see citing works
“…such as ChatGPT, DALL-E, and MidJourney, to name a few, has “shaken” this timeless practice; for some, it offers new possibilities for art practice, e.g., [26, 28, 40, 76, 77], while for others, it challenges traditional notions of what it means to be an artist, e.g., [1, 22, 25, 37, 38, 39, 55].”
Understanding Socio-technical Factors Configuring AI Non-Use in UX Work Practices
Cha, I., & Wong, R. Y. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713140 · Cited by 9 · see citing works
Trends in Gaming - Views of Industry Professionals and Game Scholars
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Freeman, G., Mynatt, E. D., Lampe, C. A. C., Candello, H. C. D. S. P., Inkpen, K. M., & Goyal, N. (2025) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3715070.3748275 · Cited by 3 · see citing works
Generative AI in Game Development: A Qualitative Research Synthesis
Ternar, D.-A., Denisova, A., Cunha, J. M., Kultima, A., & Guckelsberger, C. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791206 · Cited by 6 · see citing works
“(2) We then returned to studies where an already identified 2 nd - order interpretation was elaborated (e.g., Boucher et al. [5] on ethical resistance) to extract their more granular sub-themes in explicit relation to the parent concept.”
InfluentialGenerative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community
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“Although early-career developers have raised ethical and usability concerns regarding generative AI tools [28], current research highlights their strong potential to streamline development by automating prototyping, narrative generation, and asset creation [29].”
Using Generative AI for Game Development Subject to Technical Constraints
Kawai, Y. (2024) · International Conference on Cyberworlds (CW) · doi:10.1109/cw64301.2024.00081 · Cited by 2 · see citing works
“Previous studies have shown that in game development using generative AI, programmers tend to be more accepting of the technology, while artists remain hesitant due to ethical and practical concerns [1].”
Generative AI as a More Knowledgeable Other: An Autoethnographic Study of Game Design Education
Alharthi, S. A. (2026) · Applied Sciences · doi:10.3390/app16115689 · Cited by 1 · see citing works
Panchanadikar, R., Hu, Y., & Freeman, G. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3805689.3812248 · Cited by 1 · see citing works
“…roles previously distributed across peers, mentors, and collaborators, generative AI may potentially reconfigure indie game developers’ creative labor into a more individualized practice, where responsibility for growth, evaluation, and resilience is increasingly borne by the developer alone.”
InfluentialAdamu, M. S., Lazem, S., Nkwo, M. S., & Peters, A. N. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5347484
Chen, M., & Smith, G. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3748627
Self-citationInvestigating user perceptions of Generative AI for data storytelling
Gude, V., & Safitri, A. (2025) · Journal of Business Analytics · doi:10.1080/2573234x.2025.2573252
“…developers who frequently experienced a mismatch between the anticipated potential of Generative AI and its actual performance – in specific tasks, such as predictive coding assistance, many expressed frustration over consistently encountering imperfect or misleading outputs (Boucher et al., 2024).”
Beyond Extraction? Generating Games with AI, Responsibly
Sharma, V., Mather, E., Mirza-Babaei, P., & Kumar, N. (2026) · Symposium on Designing Interactive Systems · doi:10.1145/3800645.3813025 · Cited by 1 · see citing works
A Tool of One’s Own: Motifs, Abduction and Non-Generative World-Building
Şentürk, M., & Tasa, U. B. (2026) · ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) · doi:10.1145/3811242.3827550
Generative AI as a Mediator in Creator Collaboration: Challenges, Design Opportunities, and Concerns
Kim, H., Kim, J., & Choi, Y. J. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3816940
“Existing research has primarily focused on existential concerns in the one-to-one creator-GenAI relationship—such as creator replacement [78], threats to creative identity [10, 55], and loss of autonomy [30, 66].”
Generative AI in Game Development: A Qualitative Research Synthesis
Ternar, A., Denisova, A., Cunha, J. M., Kultima, A., & Guckelsberger, C. (2025) · arXiv
“(2) We then returned to studies where an already identified 2 nd - order interpretation was elaborated (e.g., Boucher et al. [5] on ethical resistance) to extract their more granular sub-themes in explicit relation to the parent concept.”
Influential
- Authors
- Boucher, J. D., Smith, G., & Telliel, Y. D.
- Affiliations
- Worcester Polytechnic Institute (US)
- Venue
- Proceedings of the CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2024-05-11
- Pages
- 1-13
- OpenAlex
- W4396832950
- Cited by
- 30
- References
- 29
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 2
- FWCI
- 39.36
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- NSF (National Science Foundation) (DGE-1922761)
- Topics
- Social Sciences › Sociology and Political Science › Digital Games and Media
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Keywords
- generative AI, game development, mobile game design, professional development programs, developer perceptions, creative process, professional identity, technology adoption, resistance to AI, moral skepticism, professional culture
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-12.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-12.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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