Lessons learned from AI ethics principles for future actions
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Human value alignment is increasingly important in scenarios where AI interacts closely with humans, such as healthcare, finance, and personal assistants, to ensure decisions are technically sound and ethically and socially responsible.
“This is increasingly important in scenarios where AI interacts closely with humans, such as in healthcare, finance, and personal assistants, to ensure that AI systems make decisions that are not only technically sound, but also ethically and socially responsible, which means human value alignment is becoming crucial in developing AI systems that are trusted and accepted by society [89], [267].”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [267]
The reliance on principalism is contested within the biomedical community and has been questioned in the AI field, but remains dominant.
“However, it should be noted that this reliance on principalism [39] is contested within the biomedical community [79] and has been questioned in the AI field [67,92], but at present remains dominant.”
From From computer ethics and the ethics of AI towards an ethics of digital ecosystems (2022) · cites this paper as [67]
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The global landscape of AI ethics guidelines
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“[7] review 84 AI ethics guidelines publicly released.”
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“[8] 2020 study of a different sample of documents shows, while there are certainly points of convergence, by no means is there unanimity across the 36 principle documents reviewed.”
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“In reviewing the principles and frameworks, and in building a roadmap and choosing our next actions, we need to remember the questions Cath [54] raised, “who sets the agenda for AI governance?”
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Optimizing renewable energy systems through artificial intelligence: Review and future prospects
Ukoba, K. O., Olatunji, K. O., Adeoye, E., Jen, T., & Madyira, D. M. (2024) · Energy & Environment · doi:10.1177/0958305x241256293 · Cited by 645 · see citing works
Munn, L. (2022) · AI and Ethics · doi:10.1007/s43681-022-00209-w · Cited by 352 · see citing works
“Such principles slot neatly into existing corporate playbooks, rarely questioning “the business culture, revenue models, or incentive mechanisms that continuously push these products into the markets” [31, 43].”
BackgroundAI governance: themes, knowledge gaps and future agendas
Birkstedt, T., Minkkinen, M., Tandon, A., & Mäntymäki, M. (2023) · Internet Research · doi:10.1108/intr-01-2022-0042 · Cited by 417 · see citing works
Defining organizational AI governance
Mäntymäki, M., Minkkinen, M., Birkstedt, T., & Viljanen, M. (2022) · AI and Ethics · doi:10.1007/s43681-022-00143-x · Cited by 378 · see citing works
“The third wave aims at promoting practical accountability mechanisms [24].”
BackgroundAhmad, K., Maabreh, M., Ghaly, M., Khan, K., Qadir, J., & Al-Fuqaha, A. (2022) · Computer Science Review · doi:10.1016/j.cosrev.2021.100452 · Cited by 291 · see citing works
“In addition, many individual journal articles [260, 261, 262, 263, 264, 251, 265, 266, 267], and a number of academic journals dedicated special issues to contribute to AI ethics.”
BackgroundJang, Y., Choi, S., & Kim, H. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11086-5 · Cited by 150 · see citing works
“According to a review of publications on AI ethics, these documents share similar values and priorities in terms of content (Hickok, 2021).”
McIntosh, T. R., Susnjak, T., Liu, T., Watters, P., Xu, D., Liu, D., & Halgamuge, M. N. (2025) · Technologies · doi:10.3390/technologies13020051 · Cited by 102 · see citing works
“…accountability, and societal impact, addresses the surge in ethical challenges posed by AI’s increasing complexity and potential misalignment with human values, and requires ethical governance frameworks, multidisciplinary collaborations, and technological solutions [214], [235], [15], [236].”
BackgroundGeorgieva, I., Lazo, C., Timan, T., & van Veenstra, A. F. (2022) · AI and Ethics · doi:10.1007/s43681-021-00127-3 · Cited by 89 · see citing works
“1 The third wave of scholarship on ethical AI, which builds on the first two by exploring how to turn AI principles into actionable data science practice and governance (see for instance [10, 12, 24, 29, 62]), examines as such the spectrum of applicability of AI ethics in real-world cases [45], highlights issues of st…”
BackgroundPHILOSOPHY IN BUSINESS ANALYTICS: A REVIEW OF SUSTAINABLE AND ETHICAL APPROACHES
Adaga, E. M., Egieya, Z. E., Ewuga, S. K., Abdul, A. A., & Abrahams, T. O. (2024) · International Journal of Management & Entrepreneurship Research · doi:10.51594/ijmer.v6i1.710 · Cited by 86 · see citing works
Artificial intelligence ethics has a black box problem
Bélisle-Pipon, J.-C., Monteferrante, E., Roy, M.-C., & Couture, V. (2023) · AI & SOCIETY · doi:10.1007/s00146-021-01380-0 · Cited by 85 · see citing works
“…2020; Estrada 2020; Mittelstadt 2019b; Hagerty and Rubinov 2019; LaGrandeur 2020; Lauer 2020; Sloane 2018), as well as the contextual applicabil‑ ity in some areas of these ethical guidelines (Ryan and Stahl 2020; Morley et al. 2020; Hickok 2020; Floridi 2019; ÓhÉigeartaigh et al. 2020).”
BackgroundIbáñez, J., & Olmeda, M. V. (2021) · Ai & Society · doi:10.1007/s00146-021-01267-0 · Cited by 88 · see citing works
“However, very few show the principles’ practical implementation to focus on actionable items inside the organisations (Canca 2020; Floridi 2019; Hickok 2021; Mark and Anya 2019; Stahl et al. 2021; Vakkuri and Kemell 2019).”
BackgroundFarrow, R. (2023) · Learning, Media and Technology · doi:10.1080/17439884.2023.2185630 · Cited by 81 · see citing works
“Hickok (2021) also calls for greater diversity amid a need to progress from high-level abstractions and concepts in favour of applied ethics which establish accountability.”
Ortega-Bolaños, R., Bernal-Salcedo, J., Germán Ortiz, M., Galeano Sarmiento, J., Ruz, G. A., & Tabares-Soto, R. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10740-3 · Cited by 76 · see citing works
“Regulation and establishing solid ethical standards are essential to ensure that AI is used responsibly and with respect for people’s rights and well-being (Hickok 2021).”
Standards, frameworks, and legislation for artificial intelligence (AI) transparency
Lund, B. D., Orhan, Z., Mannuru, N. R., Bevara, R. V. K., Porter, B., Vinaih, M. K., & Bhaskara, P. (2025) · AI and Ethics · doi:10.1007/s43681-025-00661-4 · Cited by 75 · see citing works
“…structures proposed by an individual or group), and legislation (legal rules established and enforced by a governing body) for AI transparency around the world, taking a narrower and updated view of this specific issue that pairs with broader analyses of global AI policy such as Hickok [ 27].”
Nannini, L., Balayn, A., & Smith, A. L. (2023) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3593013.3594074 · Cited by 87 · see citing works
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“Lastly, our findings offer practical implications for policy makers who are to assess the impact that AI has on various stakeholders in society (Hickok, 2021).”
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Stahl, B. C. (2022) · AI and Ethics · doi:10.1007/s43681-021-00080-1 · Cited by 68 · see citing works
Integrating ethics in AI development: a qualitative study
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“Although these recommendations have served as building blocks of a common ethical framework for AI, less guidance exists on how these ideals must be translated into practical considerations [3–6].”
BackgroundPublic procurement of artificial intelligence systems: new risks and future proofing
Hickok, M. (2024) · AI & SOCIETY · doi:10.1007/s00146-022-01572-2 · Cited by 81 · see citing works
“Such a determination must be made by engaging, internally and externally, multidisciplinary public officials and impacted communities in the decisions (Hickok, 2021).”
Lin, X., Wang, Z., Zhou, W., Luo, G., Hwang, G., Zhou, Y., Wang, J., Hu, Q., Li, W., & Liang, Z. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104813 · Cited by 64 · see citing works
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“NGOs, research institutes, companies, and government agencies have published more than 100 AI ethics guidelines [15], and research analyzing AI ethics guidelines is also actively underway.”
BackgroundLocal public services and the ethical deployment of artificial intelligence
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A policy primer and roadmap on AI worker surveillance and productivity scoring tools
Hickok, M., & Maslej, N. (2023) · AI and Ethics · doi:10.1007/s43681-023-00275-8 · Cited by 48 · see citing works
“Algorithmic systems which violate fundamental human rights and human dignity should not be legitimized by principles [101] or through the use of risk management systems.”
BackgroundBlanchard, A., Thomas, C., & Taddeo, M. (2024) · Ai & Society · doi:10.1007/s00146-024-01866-7 · Cited by 18 · see citing works
“…for the specification of AI ethics guidelines (Alshammari and Simpson 2017; Gasser and Almeida 2017; Butcher and Beridze 2019; Jobin et al. 2019; Leslie 2019; Krafft et al. 2020; Hickok 2021; Metcalf et al. 2021; Seppälä et al. 2021; Stix 2021; Ayling and Chapman 2022; Georgieva et al. 2022).”
Mutuality in AI-enabled new public service solutions
Koskimies, E., & Kinder, T. (2022) · Public Management Review · doi:10.1080/14719037.2022.2078501 · Cited by 29 · see citing works
“This is a much deeper engagement than post-facto judgement using abstract ethical principles as in most AI ethics debates (see Jobin, Ienca, and Vayena 2019; Fjeld et al. 2020), without any clear result (Hickok 2020).”
BackgroundInfluentialDigital ethicswashing: a systematic review and a process-perception-outcome framework
Schultz, M. D., Conti, L. G., & Seele, P. (2024) · AI and Ethics · doi:10.1007/s43681-024-00430-9 · Cited by 57 · see citing works
“…based on self-regulation that permits one to avoid regulations or to retrofit one’s ethical standards by ethics shopping one’s principles, viz., when someone cherrypicks the principles that better suit so to make one’s AI uses ethically acceptable rather than changing one’s behaviour [45, 93, 119].”
InfluentialSocial impact and governance of AI and neurotechnologies
Doya, K., Ema, A., Kitano, H., Sakagami, M., & Russell, S. (2022) · Neural Networks · doi:10.1016/j.neunet.2022.05.012 · Cited by 45 · see citing works
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Becker, S. J., Nemat, A., Lucas, S., Heinitz, R. M., Klevesath, M., & Charton, J. (2022) · Ai & Society · doi:10.1007/s00146-021-01376-w · Cited by 27 · see citing works
“…offer valuable orientation but cannot necessarily provide the specific perspective needed for individual organisations with their unique digital challenges, needs and values, or for translating high-level principles into robust practice (Mittelstadt 2019; Floridi 2019; Hickok 2020; Blackman 2020).”
Humans “in the Loop”?: Human-Centrism, Posthumanism, and AI
Mellamphy, N. B. (2021) · Nature and Culture · doi:10.3167/nc.2020.160102 · Cited by 39 · see citing works
Politics by Automatic Means? A Critique of Artificial Intelligence Ethics at Work
Cole, M., Cant, C., Ustek-Spilda, F., & Graham, M. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2022.869114 · Cited by 30 · see citing works
“These concerns appear to have stayed relatively consistent over time (Roberts et al., 2021), which is somewhat problematic given the limited set of stakeholder perspectives contained in the field of principles (Hickok, 2021).”
BackgroundTowards intellectual freedom in an AI Ethics Global Community
Ebell, C., Baeza-Yates, R., Benjamins, R., Cai, H., Coeckelbergh, M., Duarte, T., Hickok, M., Jacquet, A., Kim, A., Krijger, J., et al. (2021) · AI and Ethics · doi:10.1007/s43681-021-00052-5 · Cited by 34 · see citing works
“Problems of systemic racism and other culturally deeply encoded discriminatory mechanisms multiply the severity of such conflicts of interest insignificant, perhaps non-linear and even counter-intuitive ways [22, 24, 36, 38, 39, 44].”
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“…and challenges that are being created with the rise in the use of AI across sectors of society, many organizations, both public and private have come up with and published frameworks, principles, and guidelines on the ethical use of AI (Jobin et al., 2019; Hickok, 2020; Zicari et al., 2021).”
BackgroundCamaréna, S. (2021) · Sustainability · doi:10.3390/su13169314 · Cited by 34 · see citing works
“Frameworks, tools, and checklists are some attempts at a technical fix to ethical issues raised in high-level AI ethics principles, but tangible action needs to move from high-level arguments to practice-based accountability and ethics mechanisms [16].”
BackgroundNon-western AI ethics guidelines: implications for intercultural ethics of technology
Hongladarom, S., & Bandasak, J. (2023) · Ai & Society · doi:10.1007/s00146-023-01665-6 · Cited by 28 · see citing works
“…example, argues that the “new field of AI ethics still needs a lot of work to incorporate the wisdom and values of different cultures” (Hickok 2021, p. 45), and “[t]he development of future work needs to stay true to the principles’ claims to be global and beneficial to all” (Hickok 2021 p. 46).”
InfluentialReconstructing AI Ethics Principles: Rawlsian Ethics of Artificial Intelligence
Westerstrand, S. (2024) · Science and Engineering Ethics · doi:10.1007/s11948-024-00507-y · Cited by 36 · see citing works
“This trend also known as principalism (Clouser & Gert, 1990) has raised questions about the applicability of these principles in practice (Hickok, 2021; Mittelstadt, 2019), which has led to an increasing volume of research about operationalisation of ethics principles (Bleher & Braun, 2023; Morley…”
BackgroundSchiff, D. (2024) · Policy & Society · doi:10.1093/polsoc/puae007 · Cited by 31 · see citing works
“Yet, there is uncertainty and debate about whether this frame is likely to influence policy in a meaningful way (Hickok, 2021; Morley et al., 2023; Taeihagh, 2021), given numerous barriers to operationalizing AI ethics and concerns about private and public sector “ethics-washing” and “ethics…”
Sadeghi, S., & Niu, C. (2024) · Leadership and Policy in Schools · doi:10.1080/15700763.2024.2358303 · Cited by 33 · see citing works
“AI should be integrated into a governance framework that abides by ethical standards (Hickok, 2021; Samarawickrama, 2022) and ensures compliance with human rights norms through oversight and external regulation (Yeung et al., 2020).”
From applied ethics and ethical principles to virtue and narrative in AI practices
Hayes, P., Fitzpatrick, N., & Vicente, J. M. F. (2024) · AI and Ethics · doi:10.1007/s43681-024-00472-z · Cited by 29 · see citing works
“…OECD, 3 as well as a general groundswell in academic and organisational interest in proposing and adopting different AI principles and guidelines [46], such principles are also beginning to court attention and critique, in some cases critiques extending to the whole endeavour of AI ethics itself…”
Towards AI ethics-led sustainability frameworks and toolkits: Review and research agenda
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Saklaki, A., & Gardikiotis, A. (2024) · Societies · doi:10.3390/soc14120248 · Cited by 23 · see citing works
“While AI is often praised for its transformative potential, it also raises ethical concerns [10].”
Handling Ethics Dumping and Neo-Colonial Research: From the Laboratory to the Academic Literature
da Silva, J. A. T. (2022) · Journal of Bioethical Inquiry · doi:10.1007/s11673-022-10191-x · Cited by 19 · see citing works
Human-Centered Trustworthy Framework: A Human–Computer Interaction Perspective
Sousa, S., Lamas, D., Cravino, J., & Martins, P. (2024) · Computer · doi:10.1109/mc.2023.3287563 · Cited by 22 · see citing works
“It will also be difficult to predict AI behaviours and identify errors that can lead to biased decisions, unforeseen risks, and further user trust concerns [4,18,27,59].”
BackgroundAgbese, M., Alanen, H.-K., Antikainen, J., Halme, E., Isomaki, H., Jantunen, M., Kemell, K., Rousi, R. A., Vainio-Pekka, H., & Vakkur, V. (2022) · e-Informatica Software Engineering Journal · doi:10.37190/e-inf230101 · Cited by 21 · see citing works
Burema, D., Debowski, N., von Janowski, A., Grabowski, J., Maftei, M., Jacobs, M., van der Smagt, P., & Benbouzid, D. (2023) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3600211.3604680 · Cited by 20 · see citing works
“As important as such initiatives are for raising awareness for ethical issues of AI, they have been criticized as being too abstract [39, 57] and offering little to no practical applicability [66, 73, 75].”
BackgroundLancaster, C., Schulenberg, K., Flathmann, C., McNeese, N. J., & Freeman, G. (2023) · ACM Journal on Responsible Computing · doi:10.1145/3632121 · Cited by 21 · see citing works
Macro Ethics Principles for Responsible AI Systems: Taxonomy and Directions
Woodgate, J., & Ajmeri, N. (2024) · ACM Computing Surveys · doi:10.1145/3672394 · Cited by 20 · see citing works
“Future research could address gaps that arise in resolving these dilemmas.”
Mapping the landscape of ethical considerations in explainable AI research
Nannini, L., Manerba, M. M., & Beretta, I. (2024) · Ethics and Information Technology · doi:10.1007/s10676-024-09773-7 · Cited by 16 · see citing works
“In this spirit, future studies should further investigate how organizational constraints do influence XAI deployers’ alignment with specific ethical stances and their willingness to express dissenting views (Hickok, 2021; Ibáñez & Olmeda, 2021; Kitamura et al., 2021).”
Borg, J. S. (2021) · Big Data & Society · doi:10.1177/20539517211040197 · Cited by 18 · see citing works
“Yet even after a first wave of responses coalesced around Ethical AI principles (Hickok, 2021), a second wave cultivated Ethical AI technical tools, and now a third wave is motivating litigation and advocacy (Kind, 2020), published Ethical AI principles and technical tools still have limited impact on the daily practi…”
BackgroundPonte, E. B., & Bednárová, M. (2022) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-94617-3_27 · Cited by 18 · see citing works
Public views on ethical issues in healthcare artificial intelligence: protocol for a scoping review
Frost, E. K., Bosward, R., Aquino, Y. S. J., Braunack‐Mayer, A., & Carter, S. M. (2022) · Systematic Reviews · doi:10.1186/s13643-022-02012-4 · Cited by 18 · see citing works
“To ensure that HCAI has a positive impact on patients, it is crucial that AI ethics reflects the values that are important to people [12, 14], but it remains unclear how this should be achieved.”
BackgroundThe rise of checkbox AI ethics: a review
Kijewski, S., Ronchi, E., & Vayena, E. (2024) · AI and Ethics · doi:10.1007/s43681-024-00563-x · Cited by 19 · see citing works
“Over the last years, substantial work has thus been dedicated to “lowering the level of abstraction” [10] and to translating ethical principles into actionable and specific practical requirements in AI governance [6, 11].”
Beyond Code and Algorithms: Navigating Ethical Complexities in Artificial Intelligence
Ľuptáková, I. D., Pospı́chal, J., & Huraj, L. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-54813-0_30 · Cited by 17 · see citing works
Balayn, A., Yurrita, M., Rancourt, F., Casati, F., & Gadiraju, U. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713787 · Cited by 22 · see citing works
“This is consistent with existing organizational efforts for AI trustworthiness (e.g., AI principles [59, 90, 138], toolkits [14, 77], alliances 4 , and pacts 5 ).”
Wyk, V. (2024) · Cybrarians Journal · doi:10.70000/cj.2024.73.601 · Cited by 23 · see citing works
A Review of Prompt Engineering Techniques for Large Language Models
Naser, M. Z. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2607553 · Cited by 17 · see citing works
“As the future unfolds, the field should remain vigilant by incorporating lessons learned from prior waves of AI research (Aliferis et al., 2024; Hickok, 2021).”
Heinisuo, E., Kuoppakangas, P., & Stenvall, J. (2025) · Information Systems Frontiers · doi:10.1007/s10796-025-10599-x · Cited by 14 · see citing works
Challenges and Trends in User Trust Discourse in AI Popularity
Sousa, S., Cravino, J., & Martins, P. (2023) · Multimodal Technologies and Interaction · doi:10.3390/mti7020013 · Cited by 14 · see citing works
“Those fears have led to the surge of new reports, articles, and principles that seek more trustworthy AI (TAI) visions that provide a Human-centered vision of users’ trust and socio-ethical characteristics towards AI [23,38,83,85,86,88].”
BackgroundResponsible use of AI in military systems: prospects and challenges
Schraagen, J. M. (2023) · Ergonomics · doi:10.1080/00140139.2023.2278394 · Cited by 19 · see citing works
“…by some for being (i) too abstract to be practical, (ii) reflecting mainly the values of the experts chosen to create them (hence, not being inclusive), and (iii) serving the priorities of the private entities which funded some of this work (‘ethics washing’) (Hagendorff 2020; Hickok 2021).”
BackgroundJoynt, V., Cooper, J., Bhargava, N., Vu, K., Kwon, O. H., Allen, T. R., Verma, A., & Radaideh, M. I. (2024) · Scientific Reports · doi:10.1038/s41598-024-79705-4 · Cited by 14 · see citing works
Aboelazm, K. S. (2025) · International Journal of Law and Management · doi:10.1108/ijlma-06-2024-0208 · Cited by 17 · see citing works
A framework to contest and justify algorithmic decisions
Henin, C., & Le Métayer, D. (2021) · AI and Ethics · doi:10.1007/s43681-021-00054-3 · Cited by 14 · see citing works
“We hold that this contribution is a first step to address the call expressed in [12] “for tangible action to move from high-level abstractions and conceptual arguments towards applying ethics in practice and creating accountability mechanisms.””
BackgroundResponsibility, Recourse, and Redress: A Focus on the Three R’s of AI Ethics
Gardner, A. (2022) · IEEE Technology and Society Magazine · doi:10.1109/mts.2022.3173342 · Cited by 13 · see citing works
Toward Accountable and Explainable Artificial Intelligence Part One: Theory and Examples
Khan, M. M., & Vice, J. (2022) · IEEE Access · doi:10.1109/access.2022.3207812 · Cited by 13 · see citing works
“Recently, government and business entities have also started to emphasize the need to account for the ethical implications of using AI systems (Hagendor ff , 2020; Hickok, 2021).”
BackgroundExplanation needs and ethical demands: unpacking the instrumental value of XAI
Alpsancar, S., Buhl, H. M., Matzner, T., & Scharlau, I. (2024) · AI and Ethics · doi:10.1007/s43681-024-00622-3 · Cited by 13 · see citing works
“In general, the guidelines do not rank their core principles a priori, which lets them appear to be of symmetrical value the undifferentiated call for XAI bears a disguising effect and encourages so-called “ethics shopping” [ 64, p. 42].”
A Value Sensitive Design Perspective on AI Biases
Gan, I., & Moussawi, S. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.676 · Cited by 13 · see citing works
“Recent work highlights the need to address emerging AI challenges through responsible development of AI and the need for participatory engagement in the creation of documents addressing the ethical implications of AI across organizations in all sectors [9, 10, 11].”
Aktaş, B. N. (2024) · Advances in business strategy and competitive advantage book series · doi:10.4018/979-8-3693-1155-4.ch002 · Cited by 13 · see citing works
Mazzi, F., Taddeo, M., & Floridi, L. (2023) · Philosophical studies series · doi:10.1007/978-3-031-21147-8_2 · Cited by 12 · see citing works
Preservice ethics teachers’ perceptions of AI ethics education
Song, A., & Ko, J. (2024) · Journal of Moral Education · doi:10.1080/03057240.2024.2393353 · Cited by 12 · see citing works
“Those who value AI ethics note that ethical principles can be the basis for solving complex ethical problems, expected along with advances in AI technologies (Hickok, 2021).”
Nullius in Explanans: an ethical risk assessment for explainable AI
Nannini, L., Huyskes, D., Panai, E., Pistilli, G., & Tartaro, A. (2024) · Ethics and Information Technology · doi:10.1007/s10676-024-09800-7 · Cited by 14 · see citing works
“This observation aligns with the current state of AI ethics research which—as denoted by (Hickok, 2021)—is transitioning from principle affirmation to operationalization (Hagendorff, 2019; Morley et al., 2023).”
Youth perceptions of AI ethics: a Q methodology approach
Ko, J., & Song, A. (2024) · Ethics & Behavior · doi:10.1080/10508422.2024.2396582 · Cited by 11 · see citing works
“Some view them as futile due to the lack of legal enforcement, while others recognize their positive role in setting expectations and standards for evaluating AI output (Hickok, 2021).”
Moral decision-making in AI: A comprehensive review and recommendations
Ram, J. (2025) · Technological forecasting & social change · doi:10.1016/j.techfore.2025.124150 · Cited by 8 · see citing works
Nemat, A., Becker, S. J., Lucas, S., Thomas, S. C., Gadea, I., & Charton, J. (2023) · Minds and Machines · doi:10.1007/s11023-023-09654-w · Cited by 5 · see citing works
“This requires operationalising high-level guidance to match an organisation’s structure, workflows and unique digital challenges (Floridi, 2019; Mittelstadt, 2019; Morley et al., 2020 ; Hickok, 2020; Blackman, 2020; Mökander et al., 2022b ).”
Narrativity and responsible and transparent ai practices
Hayes, P., & Fitzpatrick, N. (2024) · AI & Society · doi:10.1007/s00146-024-01881-8 · Cited by 12 · see citing works
“…in trying to manage the ethical development of AI tools as evidenced by the wide proliferation of AI ethics principles and guidelines, as well as regional efforts to regulate it and protect individuals and society from potential harms (see the European Union’s upcoming AI regulation) (Hickok 2021).”
Nkwo, M. S., Ikwunne, T. A., Adejoro, C. O., & Anuyah, O. (2025) · Human-computer interaction series · doi:10.1007/978-3-031-88326-2_5 · Cited by 9 · see citing works
Conti, L. G., & Seele, P. (2023) · Ethics and Information Technology · doi:10.1007/s10676-023-09724-8 · Cited by 9 · see citing works
“These data suggest an under-representation of society’s needs and an over-representation of (mainly) US companies’ interests (Hickok, 2021)—a conjecture strongly reinforced by the lack in the final document of a declaration of no conflict of interest (Charlesworth, 2021).”
BackgroundKim, C., Passonneau, R. J., Lee, E., Karizaki, M. S., Gnesdilow, D., & Puntambekar, S. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13596 · Cited by 12 · see citing works
Groen, E. L. M., Sharon, T., & Becker, M. (2026) · AI and Ethics · doi:10.1007/s43681-025-00955-7 · Cited by 9 · see citing works
“…and Rodrigues [124, p. 2] argue, the “teeth” of ethics can be found in its “continuously refreshed and agile attention to reality as it evolves”. outline of a shared foundation upon which one can build and use as a benchmark to communicate expectations and evaluate deliverables” [32, p. 44].”
Artificial Intelligence Disclosure in the Annual Reports of Spanish IBEX-35 Companies (2018–2019)
Ponte, E. B., Alejo, V., & Lavorato, D. (2021) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-73261-5_14 · Cited by 8 · see citing works
Ha, Y. (2022) · Conference on Fairness, Accountability and Transparency · doi:10.1145/3531146.3533091 · Cited by 11 · see citing works
“Following the development of AI ethics guidelines and codes by multiple countries, private companies, and non-governmental organizations (NGOs), the task of practically implementing AI ethics has been rising to prominence as a pressing issue [21, 47, 79].”
BackgroundBalancing Innovation, Responsibility, and Ethical Consideration in AI Adoption
Taherdoost, H., Madanchian, M., & Castanho, G. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.04.586 · Cited by 7 · see citing works
Lee, J. W., & Lee, K. (2025) · Government Information Quarterly · doi:10.1016/j.giq.2025.102060 · Cited by 7 · see citing works
Sposato, M., Dittmar, E. C., & Portillo, J. P. V. (2026) · Service Industries Journal · doi:10.1080/02642069.2026.2643384 · Cited by 7 · see citing works
Aspects and Views on Responsible Artificial Intelligence
Brumen, B., Göllner, S., & Tropmann-Frick, M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25599-1_29 · Cited by 7 · see citing works
Developing a framework for addressing ethical challenges in generative AI
Lucas, S., Heinitz, R. M., Becker, S. J., & Charton, J. E. (2025) · Journal of Information Technology Case and Application Research · doi:10.1080/15228053.2025.2558443 · Cited by 7 · see citing works
“…the framework is consistent with the prevailing academic discourse that ethical guidelines such as the CoDE must be translated into practice to provide a valuable impact for organizations (Blackman, 2020; Floridi, 2019; Hickok, 2020; Mittelstadt, 2019; Mökander et al., 2022; Morley et al., 2020).”
Beyond aversion – principles of appropriate algorithmic decision-making in human resource management
Strohmeier, S., Becker, M., & Scheer-Weller, E. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.128954 · Cited by 9 · see citing works
A Method for Rapid Ethical Deliberation in Research and Innovation Projects
Steen, M., Neef, M., & Schaap, T. (2021) · International Journal of Technoethics · doi:10.4018/ijt.2021070106 · Cited by 4 · see citing works
“Thisisespeciallytrueforcertain disciplinessuchas‘AIethics’(Hickok,2020),wherepeoplelookforwaystogobeyondabstract principles—tomovefromtheorytopractice,or,asMorleyetal.”
Trustworthy tech companies: talking the talk or walking the walk?
Keymolen, E. (2023) · AI and Ethics · doi:10.1007/s43681-022-00254-5 · Cited by 5 · see citing works
“The lack of diversity in tech teams and a dominant focus on Western values have proven a major obstacle to developing AI applications that do not discriminate or exclude certain groups [22].”
Круглов, В. В., Бобось, О. Л., Гнилянська, О. В., Rossikhin, V., & Kolomiiets, Y. (2024) · Pakistan Journal of Criminology · doi:10.62271/pjc.16.2.913.928 · Cited by 5 · see citing works
Data Hazards: An open-source vocabulary of ethical hazards for data-intensive projects
Zelenka, N., Cara, N. H. D., Bennet, E. D., Clatworthy, P. L., Day, H., Garcia, I. K., García, S. R., Hanschke, V. A., Kuwertz, E. S., & Garcia, I. K. (2025) · Journal of Responsible Technology · doi:10.1016/j.jrt.2025.100110 · Cited by 6 · see citing works
Shelley‐Egan, C. (2025) · NanoEthics · doi:10.1007/s11569-025-00471-2 · Cited by 4 · see citing works
“For instance, scholars working in the area of ethics for Artificial Intelligence (AI) have observed a particular ethical ‘frame’ that prioritises technical solutions [15, 16].”
Operationalising digital ethics: establishment of an ethics evaluation tool for data analytics
Charton, J., Lucas, S., Vogd, W., Halter, W., & Becker, S. J. (2025) · Ai & Society · doi:10.1007/s00146-025-02621-2 · Cited by 3 · see citing works
“…and workflows (Mittelstadt and Floridi 2016; Rochel and Evéquoz 2021; Floridi et al. 2018; Jobin et al. 2019; Adams 2024; Amugongo et al. 2023; Kri-jger et al. 2023; Fjeld et al. 2020; Hagendorff 2020; Schiff et al. 2021; Floridi 2019; Morley et al. 2020; Hickok 2020; Giovanola and Tiribelli 2023).”
Measuring ethics level of technological topics using phylogenetic tree
Jeong, D., Park, C., Kang, T., Shin, K., Choi, S., & Hwang, J. (2023) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2023.2209214 · Cited by 4 · see citing works
“…there are several consequences of applying ethical standards in the process of AI development and utilisation owing to the absence of agreed standards, which hinders the realisation of actual ethical standards through arbitrary and biased applications (Rességuier and Rodrigues 2020; Hickok 2021).”
Krause, D. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5050631 · Cited by 4 · see citing works
Treacy, C., Regan, G., Shahid, A., & Maguire, B. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-15559-8_3 · Cited by 3 · see citing works
Steen, M., de Greeff, J., de Boer, M. D., & Veenman, C. J. (2024) · AI and Ethics · doi:10.1007/s43681-024-00571-x · Cited by 3 · see citing works
“…aspects of AI systems, and to help steer the development and deployment of such systems in directions that are ethically and socially benefi - cial or preferable (Floridi 2019; Floridi et al. 2018; Hickok 2020; Jobin et al. 2019; Morley et al. 2020; Sætra and Dana-her 2022; Van de Poel 2020).”
User-driven prioritization of ethical principles for artificial intelligence systems
Fernholz, Y., Ermakova, T., Fabian, B., & Buxmann, P. (2024) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2024.100055 · Cited by 5 · see citing works
- Authors
- Hickok, M.
- Corresponding author
- Hickok, Merve
- ORCID
- Hickok, Merve
- Venue
- AI and Ethics
- Published
- 2020-10-06
- Volume
- 1
- Issue
- 1
- Pages
- 41-47
- ISSN
- 2730-5953 (ISSN-L)
- 2730-5961
- OpenAlex
- W3092523763
- Cited by
- 168
- References
- 34
- Citations by year
- 2026: 25 · 2025: 34 · 2024: 44 · 2023: 27 · 2022: 26 · 2021: 12
- FWCI
- 22.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- AI and Ethics (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- AI ethics principles, AI ethics guidelines, algorithmic bias, accountability mechanisms, responsible AI development, big data, AI governance, private sector influence, diversity of voices, ethics in practice
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