Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI
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Human Rights frameworks have global reach, varied realizations, and general recognition as an accepted foundation of good governance.
“Additionally grounding the definition of our proposed values in Human Rights frameworks constitutes an appealing starting point to addressing these limitations given their global reach, varied realizations (both historically and geographically), and general recognition as an accepted foundation of good governance [55].”
From Data Governance in the Age of Large-Scale Data-Driven Language Technology (2022) · cites this paper as [55]
Most of these AI principles guides directly approach XAI as a key aspect to consider and include in AI systems.
“It is worth mentioning that most of these AI principles guides directly approach XAI as a key aspect to consider and include in AI systems.”
From Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI (2020) · cites this paper as [385]
A survey found that 26 out of 28 AI principles that deal with XAI also talk about fairness explicitly.
“For instance, the survey in [385] evinces that 26 out of the 28 AI principles that deal with XAI, also talk about fairness explicitly.”
From Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI (2020) · cites this paper as [385]
The overview in [385] indicates that 28 out of the 32 AI principles guides covered in the analysis explicitly include XAI as a crucial component.
“In fact, the overview for these principles introduced before [385], indicates that 28 out of the 32 AI principles guides covered in the analysis, explicitly include XAI as a crucial component.”
From Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI (2020) · cites this paper as [385]
A recent review of some of the main AI principles published since 2016 appears in [385].
“A recent review of some of the main AI principles published since 2016 appears in [385].”
From Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI (2020) · cites this paper as [385]
AI principles declared by organizations can be divided into AI-specific principles and end-to-end principles.
“Looking at several examples of principles declared by different organizations [385], we can divide them into two groups:”
From Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI (2020) · cites this paper as [385]
Better coverage of guidelines among top SJR ranked journals can be attributed to more accessible advanced AI technology, stringent regulatory environments, and robust scholarly communication networks.
“These better coverages can be attributed to several factors. They include more accessible advanced AI technology, stringent regulatory environments, and robust scholarly communication networks [50–52].”
From Generative artificial intelligence (GAI) usage guidelines for scholarly publishing: a cross-sectional study of medical journals (2025) · cites this paper as [51]
The practice of ex-ante algorithmic impact assessment aligns with broader principles of responsible AI governance.
“This practice aligns with broader principles of responsible AI governance, which call for evaluating potential societal and ethical impacts before deployment to ensure technologies contribute positively to goals like energy justice [7,73].”
From Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector (2025) · cites this paper as [73]
Meta-analyses of AI ethics proposals have thus far focused mainly on classifying and comparing the ethical principles suggested, where some convergence can be identified for principles like transparency, fairness, privacy and responsibility.
“Meta-analyses of AI ethics proposals have thus far focused mainly on classifying and comparing the ethical principles suggested, where some convergence can be identified for principles like transparency, fairness, privacy and responsibility [4][5][6].”
From Putting AI ethics to work: are the tools fit for purpose? (2022) · cites this paper as [6]
In the first phase from 2016 to 2019, many high-level ethical principles for AI were published.
“In the first phase from 2016 to 2019, many high-level ethical principles for AI were published as evidenced by these catalogues of ethical principles and frameworks for ethical, trustworthy responsible AI [4-6, 18, 19].”
From Putting AI ethics to work: are the tools fit for purpose? (2022) · cites this paper as [6]
Cites
Recommendation of the Council on Artificial Intelligence (OECD)
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(2019) · Datenschutz und Datensicherheit - DuD · doi:10.1007/s11623-019-1183-6 · Cited by 51
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Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.012 · Cited by 10,423 · see citing works
Shneiderman, B. (2020) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3419764 · Cited by 768 · see citing works
“The HCAI movement has raised these issues again with frequent calls for Algo-rithmic Accountability and Transparency [40], Ethically Aligned Design [56], and Professional Responsibility [36].”
BackgroundInfluentialManaging artificial intelligence
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16274 · Cited by 898 · see citing works
Responsible Artificial Intelligence Governance: A Review and Research Framework
Papagiannidis, E., Mikalef, P., & Conboy, K. (2025) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2024.101885 · Cited by 565 · see citing works
Artificial intelligence, systemic risks, and sustainability
Galaz, V., Centeno, M. A., Callahan, P. W., Causevic, A., Patterson, T., Brass, I., Baum, S., Farber, D., Fischer, J., Garcia, D., et al. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101741 · Cited by 497 · see citing works
“…risks could potentially be ameliorated through the application of principles defining “ ethical AI ” , “ responsible AI ” or “ AI for Good ” that have emerged in the last years [115,116], especially those that address fairness, non-discrimination, accountability, transparency, privacy and security.”
BackgroundSchiff, D. (2022) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-021-00270-2 · Cited by 489 · see citing works
“…derived from a review of six high-profile initiatives, bears substantial similarities with other scholarly efforts to AI create ethics typologies (Fjeld et al. 2020; Jobin et al. 2019; Zeng et al. 2018), and is highly familiar given its overlap with traditional bioethics principles (Beauchamp…”
BackgroundAccountability in artificial intelligence: what it is and how it works
Novelli, C., Taddeo, M., & Floridi, L. (2024) · AI & SOCIETY · doi:10.1007/s00146-023-01635-y · Cited by 495 · see citing works
“Generally speaking, accountability in AI relates to the expectation that designers, developers, and deployers will comply with standards and legislation to ensure the proper functioning of AIs during their life cycle (Fjeld et al., 2020).”
BackgroundHuman-Centered Artificial Intelligence: Three Fresh Ideas
Shneiderman, B. (2020) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00131 · Cited by 430 · see citing works
“The expansion of interest and application of AI research has triggered widespread public and government scrutiny of the ethical and responsible principles to guide designers, managers, and policy makers (Fjeld et al., 2020; IEEE, 2019).”
The Ethics of ChatGPT-Exploring the Ethical Issues of an Emerging Technology
Stahl, B. C., & Eke, D. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102700 · Cited by 476 · see citing works
“It has a strong emphasis on ethical guidelines and principles (Fjeld et al., 2020; Jobin et al., 2019) which includes a number of high profile interventions (AI HLEG, 2019) but it also legislation such as the EU ’ s AI Act (European Commission, 2021), various approaches to standardisation (IEEE,…”
BackgroundThinking responsibly about responsible AI and ‘the dark side’ of AI
Mikalef, P., Conboy, K., Lundström, J. E., & Popovič, A. (2022) · European Journal of Information Systems · doi:10.1080/0960085x.2022.2026621 · Cited by 435 · see citing works
“Such adverse outcomes of AI use, along with the threat of loss of control or autonomy over superior AI entities, has sparked an ongoing debate about the need to establish a set of principles to effectively govern AI (Barredo Arrieta et al., 2020; Fjeld et al., 2020).”
BackgroundCheong, B. C. (2024) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2024.1421273 · Cited by 445 · see citing works
“They propose solutions such as differential privacy techniques to protect individual privacy while ensuring transparency (Fjeld et al., 2020).”
BackgroundEthics of AI-enabled recruiting and selection: a review and research agenda
Hunkenschroer, A. L., & Luetge, C. (2022) · Journal of Business Ethics · doi:10.1007/s10551-022-05049-6 · Cited by 447 · see citing works
“…Trustworthy AI of the High-Level Expert Group on AI set up by the European Commission (High-Level Expert Group on Artificial Intelligence, 2019), and the AI4People’s principles for AI ethics (Floridi et al., 2018; see Fjeld et al., 2020; Hagendorff, 2020; or Jobin et al., 2019 for a meta-analysis).”
BackgroundArtificial Intelligence Regulation: A framework for governance
de Almeida, P. G. R., dos Santos, C. D., & Farias, J. S. (2021) · Ethics and Information Technology · doi:10.1007/s10676-021-09593-z · Cited by 395 · see citing works
“Part of this increasing gap between laws and technology is caused by the lack of a thorough and accurate definition of AI (Firth-Butterfield, 2017; Larsson, 2020), which is aggravated by the fact that the definition changes as the technology evolves (Fjeld et al., 2020).”
BackgroundWorldwide AI ethics: A review of 200 guidelines and recommendations for AI governance
Corrêa, N., Galvão, C., Santos, J., del Pino, C., Pinto, E. P., Barbosa, C., Massmann, D., Mambrini, R., Galvão, L., Terem, E., et al. (2022) · Patterns · doi:10.1016/j.patter.2023.100857 · Cited by 330 · see citing works
“As a last mention, we would like to cite the work done by Fjeld et al., 20 one of the first to present documents from Latin America.”
BackgroundMethodResultInfluentialAI 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
“In particular, the definition draws on that of AI governance for business [12] while incorporating the regulatory constraints [19, 31] and ethical AI principles [6, 32].”
BackgroundAI Governance: A Systematic Literature Review
Batool, A., Zowghi, D., & Bano, M. (2025) · AI and Ethics · doi:10.1007/s43681-024-00653-w · Cited by 314 · see citing works
“…Institute of Standards and Technology (NIST) 6 , International Organization for Standardization (ISO) 7 , and professional bodies e.g., the Institute of Electrical and Electronics Engineers [IEEE] [9] have published their ethical AI principles and guidelines [7, 10] for the governance of AI.”
Ahmad, 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
“These documents and reports were surveyed, sometimes with analytical and critical insights, by some recently published papers [291, 292, 249, 293, 206].”
BackgroundPutting AI ethics to work: are the tools fit for purpose?
Ayling, J., & Chapman, A. (2022) · AI and Ethics · doi:10.1007/s43681-021-00084-x · Cited by 253 · see citing works
“This paper sets out to review the landscape of suggested ethical frameworks with a focus on those which go beyond high-level statements of principles (see [4–6] for review of principles), and offer practical tools for application of these principles in the production and deployment of systems.”
BackgroundSteering the governance of artificial intelligence: national strategies in perspective
Radu, R. G. (2021) · Policy and Society · doi:10.1080/14494035.2021.1929728 · Cited by 251 · see citing works
Haque, A. B., Islam, A. K. M. N., & Mikalef, P. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122120 · Cited by 280 · see citing works
“AI-based decision-making systems can be used for scalable and larger ecosystems; however, the systems need to be incorporated with some principles related to ethics and rights (Fjeld et al., 2020).”
BackgroundGoverning AI safety through independent audits
Falco, G., Shneiderman, B., Badger, J., Carrier, R., Dahbura, A., Danks, D., Eling, M., Goodloe, A., Gupta, J., Hart, C., et al. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-021-00370-7 · Cited by 250 · see citing works
Improving public services using artificial intelligence: possibilities, pitfalls, governance
Henman, P. (2020) · Asia Pacific Journal of Public Administration · doi:10.1080/23276665.2020.1816188 · Cited by 310 · see citing works
A clarification of the nuances in the fairness metrics landscape
Castelnovo, A., Crupi, R., Greco, G., Regoli, D., Penco, I., & Cosentini, A. (2021) · Scientific Reports · doi:10.1038/s41598-022-07939-1 · Cited by 283 · see citing works
“…of such systems: bias amplification, data privacy, lack of transparency, human oversight, accountability, etc. (Royal Society (Great Britain), 2017; Fjeld et al., 2020; Campolo et al., 2017; Floridi et al., 2018; Floridi, 2019, 2021; High-level expert group on artificial intelligence (HLEG, AI),…”
BackgroundThe flaws of policies requiring human oversight of government algorithms
Green, B. (2022) · Computer Law & Security Review · doi:10.1016/j.clsr.2022.105681 · Cited by 263 · see citing works
“A similar pattern has been observed in AI ethics, as recent statements of principles share many common elements (Fjeld et al., 2020; Jobin et al., 2019).”
BackgroundMethodA systematic review of artificial intelligence impact assessments
Stahl, B. C., Antoniou, J., Bhalla, N., Brooks, L., Jansen, P., Lindqvist, B., Kirichenko, A., Marchal, S., Rodrigues, R., Santiago, N., et al. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10420-8 · Cited by 257 · see citing works
“2017), ethics frameworks (AI HLEG 2019), development methodologies (Martin and Makoundou 2017; Fjeld et al. 2020) etc.”
BackgroundCox, A. M. (2021) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-020-00237-8 · Cited by 242 · see citing works
The Ethics of Emotion in Artificial Intelligence Systems
Stark, L., & Hoey, J. (2021) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3442188.3445939 · Cited by 187 · see citing works
“envisioning documents [38, 43, 59], the EAI guidelines present a high-level thematic checklist for anyone engaged with “data about”
BackgroundDiscrimination, Bias, Fairness, and Trustworthy AI
Varona, D., & Suárez, J. L. (2022) · Applied Sciences · doi:10.3390/app12125826 · Cited by 178 · see citing works
Artificial Intelligence and Ethics in Dentistry: A Scoping Review
Mörch, C., Atsü, S., Cai, W., Li, X., Madathil, S. A., Liu, X., Mai, V., Tamimi, F., Dilhac, M.-A., & Ducret, M. (2021) · Journal of Dental Research · doi:10.1177/00220345211013808 · Cited by 178 · see citing works
“It provided the authors with a list of ethical principles specific to the field of AI (Hagendorff 2019; Jobin et al. 2019; Fjeld et al. 2020).”
BackgroundHughes, R. T., Zhu, L., & Bednarz, T. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.604234 · Cited by 178 · see citing works
“Finally, there is the ethical perspective (Whittle, 2019; Fjeld et al., 2020).”
BackgroundLessons learned from AI ethics principles for future actions
Hickok, M. (2021) · AI and Ethics · doi:10.1007/s43681-020-00008-1 · Cited by 168 · see citing works
“[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.”
BackgroundUnderstanding Human-Centred AI: a review of its defining elements and a research agenda
Schmager, S., Pappas, I. O., & Vassilakopoulou, P. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2448719 · Cited by 191 · see citing works
“According to Fjeld et al. (2020), transparency is the assertion that AI systems should be designed and implemented in such a way that oversight is possible.”
Ethical management of human-AI interaction: Theory development review
Hammerschmidt, T., Passlack, N., & Posegga, O. (2023) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2023.101772 · Cited by 170 · see citing works
AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection
Schiff, D., Borenstein, J., Biddle, J., & Laas, K. (2021) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2021.3052127 · Cited by 149 · see citing works
“A sizable amount of prior work views socially responsible or beneficent AI as a consensus value [4], [6].”
BackgroundResultArtificial intelligence and people management: A critical assessment through the ethical lens
Varma, A., Dawkins, C. E., & Chaudhuri, K. (2022) · Human Resource Management Review · doi:10.1016/j.hrmr.2022.100923 · Cited by 176 · see citing works
Ethics and diversity in artificial intelligence policies, strategies and initiatives
Roche, C., Wall, P. J., & Lewis, D. (2023) · AI and Ethics · doi:10.1007/s43681-022-00218-9 · Cited by 179 · see citing works
“As found in other, smaller, AI literature collections and synthesis papers, the proliferation of AI documents is coming from the Northern or Western world [13, 14, 86, 87].”
BackgroundResultHollanek, T., & Nowaczyk-Basińska, K. (2024) · Philosophy & Technology · doi:10.1007/s13347-024-00744-w · Cited by 170 · see citing works
The Contestation of Tech Ethics: A Sociotechnical Approach to Technology Ethics in Practice
Green, B. K. (2021) · Journal of Social Computing · doi:10.23919/jsc.2021.0018 · Cited by 97 · see citing works
Jang, Y., Choi, S., & Kim, H. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11086-5 · Cited by 150 · see citing works
“Fjeld et al. (2020) conducted a review of 36 key documents and discovered that they all adhered to fairness and non-discrimination principles.”
Mapping the ethics of generative AI: a comprehensive scoping review
Hagendorff, T. (2024) · Minds and Machines · doi:10.1007/s11023-024-09694-w · Cited by 141 · see citing works
“Previous scoping reviews on AI ethics guidelines (Fjeld et al., 2020; Hagendorff, 2020; Jobin et al., 2019) congruently found a set of reoccurring paramount principles for AI development and use: transparency, fairness, security, safety, accountability, privacy, and beneficence.”
The ethics of AI business practices: a review of 47 AI ethics guidelines
Attard-Frost, B., Ríos, A. D. L., & Walters, D. R. (2022) · AI and Ethics · doi:10.1007/s43681-022-00156-6 · Cited by 149 · see citing works
“Drawing upon the combined bibliographies of three highly cited previous reviews of AI ethics guidelines [5, 11, 12] we conducted a review of the AI ethics literature that would closely observe how AI business practices, their political and economic effects, and the ethical dimensions of that…”
MethodBuilding and Auditing Fair Algorithms: A Case Study in Candidate Screening
Wilson, C., Ghosh, A., Jiang, S., Mislove, A., Baker, L., Szary, J., Trindel, K., & Polli, F. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3442188.3445928 · Cited by 133 · see citing works
“Increasing concern over bias in automated systems has led to an outcry for companies incorporate fairer and more transparent systems [20].”
BackgroundTrustworthy Augmented Intelligence in Health Care
Crigger, E., Reinbold, K., Hanson, C., Kao, A., Blake, K., & Irons, M. (2022) · Journal of Medical Systems · doi:10.1007/s10916-021-01790-z · Cited by 132 · see citing works
“…from Harvard University’s Berkman Klein Center for Internet & Society is a survey of AI principles documents that have been published around the globe in recent years [29], including the OECD Principles on Artificial Intelligence that the United States and 41 other nations adopted in 2019 [30].”
BackgroundArtificial intelligence: From ethics to law
Robles-Carrillo, M. (2020) · Telecommunications Policy · doi:10.1016/j.telpol.2020.101937 · Cited by 108 · see citing works
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering
Lu, Q., Zhu, L., Xu, X., Whittle, J., Zowghi, D., & Jacquet, A. (2023) · ACM Computing Surveys · doi:10.1145/3626234 · Cited by 168 · see citing works
A Virtue-Based Framework to Support Putting AI Ethics into Practice
Hagendorff, T. (2022) · Philosophy & Technology · doi:10.1007/s13347-022-00553-z · Cited by 149 · see citing works
“As said before, the four basic AI virtues cover all common principles of AI ethics as described in prior discourses (Fjeld et al., 2020; Floridi et al., 2018; Hagendorff, 2020; Jobin et al., 2019; Morley et al., 2020).”
BackgroundTeaching AI Ethics in Medical Education: A Scoping Review of Current Literature and Practices
Weidener, L., & Fischer, M. (2023) · Perspectives on Medical Education · doi:10.5334/pme.954 · Cited by 133 · see citing works
“In addition to the principles of autonomy, non-401 maleficence, beneficence, and justice, recurring themes of AI ethics are for example transparency, explainability, accountability, and fairness [37, 38].”
BackgroundEmerging Consensus on ‘Ethical AI’: Human Rights Critique of Stakeholder Guidelines
Fukuda‐Parr, S., & Gibbons, E. (2021) · Global Policy · doi:10.1111/1758-5899.12965 · Cited by 127 · see citing works
Actionable Principles for Artificial Intelligence Policy: Three Pathways
Stix, C. (2021) · Science and Engineering Ethics · doi:10.1007/s11948-020-00277-3 · Cited by 129 · see citing works
“In an analysis by Fjeld et al. ( 2020 ) of AI Ethics Principle-type documents, over 81% contained some recommendations in favour of ‘safety’ and ‘security’.”
BackgroundMethodBuilding Human Values into Recommender Systems: An Interdisciplinary Synthesis
Stray, J., Halevy, A. Y., Assar, P., Hadfield-Menell, D., Boutilier, C. E., Ashar, A., Bakalar, C., Beattie, L., Ekstrand, M. D., Leibowicz, C., et al. (2023) · ACM Transactions on Recommender Systems · doi:10.1145/3632297 · Cited by 145 · see citing works
“…and family life” (Council of Europe, 2020) Users should be allowed to determine if and how their personal data is collected, processed and disseminated (Fjeld et al., 2020, p. 21; IEEE, 2021, p. 71) GDPR Data Protection Impact Assessment (European Commission, 2016) Controls to limit data use.”
BackgroundMethodInfluentialEthics for the majority world: AI and the question of violence at scale
Quijano, P. R. (2022) · Media Culture & Society · doi:10.1177/01634437221099612 · Cited by 133 · see citing works
“…of frameworks (Jobin et al., 2019; Schiff et al., 2020), the differences between the principles included, their hierarchies and recurrences (Fjeld et al., 2020) and the way in which these principles are defined, represent an epistemic and operational challenge for the various AI…”
BackgroundConfronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
Kiritchenko, S., Nejadgholi, I., & Fraser, K. (2021) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.12590 · Cited by 118 · see citing works
“The principle of the promotion of human values is largely congruous with fundamental human rights, and includes the following three main concerns: supporting and promoting human values and human flourishing, benefiting society, and ensuring broad access to technology (Fjeld et al., 2020).”
BackgroundInfluentialDankwa-Mullan, I., Scheufele, E. L., Matheny, M. E., Quintana, Y., Chapman, W. W., Jackson, G., & South, B. R. (2021) · Journal of Health Care for the Poor and Underserved · doi:10.1353/hpu.2021.0065 · Cited by 108 · see citing works
Is AI recruiting (un) ethical? A human rights perspective on the use of AI for hiring
Hunkenschroer, A. L., & Kriebitz, A. (2023) · AI and Ethics · doi:10.1007/s43681-022-00166-4 · Cited by 111 · see citing works
Fairness and accountability of AI in disaster risk management: Opportunities and challenges
Gevaert, C. M., Carman, M., Rosman, B., Georgiadou, Y., & Soden, R. (2021) · Patterns · doi:10.1016/j.patter.2021.100363 · Cited by 111 · see citing works
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
Woodruff, A., Shelby, R. M., Kelley, P. G., Rousso-Schindler, S., Smith-Loud, J., & Wilcox, L. G. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642700 · Cited by 126 · see citing works
“Many responsible AI interventions orient towards developer-facing interventions, such as developing AI principles [57], educating practitioners to foster ethical awareness [93], and moderating generative AI systems through training data mitigations, in-model controls (e.”
BackgroundEstablishing Data Provenance for Responsible Artificial Intelligence Systems
Werder, K., Ramesh, B., & Zhang, R. (2022) · ACM Transactions on Management Information Systems · doi:10.1145/3503488 · Cited by 129 · see citing works
“Scholars have identified different high-level ethical principles that should govern the development of AI systems [25, 48, 97].”
BackgroundRegulating AI in Mental Health: Ethics of Care Perspective
Tavory, T. (2024) · JMIR Mental Health · doi:10.2196/58493 · Cited by 108 · see citing works
“Most AI regulatory documents and guidance are based on common principles [13], which are referred to as “responsible AI.””
BackgroundExplainable AI for earth observation: A review including societal and regulatory perspectives
Gevaert, C. M. (2022) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2022.102869 · Cited by 116 · see citing works
Hagendorff, T. (2021) · AI and Ethics · doi:10.1007/s43681-021-00122-8 · Cited by 105 · see citing works
“As mentioned in the introduction, at least three meta-studies on AI ethics guidelines [26, 35, 36] confirm that explainability, fairness, privacy, safety, and accountability are mentioned in almost every code of ethics.”
BackgroundEmbedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems
Stahl, B. C. (2023) · Scientific Reports · doi:10.1038/s41598-023-34622-w · Cited by 104 · see citing works
“Such tools and methodologies can draw on and be inspired by a large number of ethics principles and frameworks 45,46 and find their expression in ethics codes 47 which may be part of professional guidance 48 and include process of standardisation 49,50 and certification 51,52 .”
Our New Artificial Intelligence Infrastructure: Becoming Locked into an Unsustainable Future
Robbins, S., & van Wynsberghe, A. (2022) · Sustainability · doi:10.3390/su14084829 · Cited by 109 · see citing works
“…through an increase in academic publications on the topic (For example the Berkman Klein Center identified 36 “prominent AI principles” documents [16]), the involvement of AI ethics in the policy forum (e.g., European Commission High-Level Expert Group on AI) [17], and the adoption of AI ethics…”
AI Ethics Principles in Practice: Perspectives of Designers and Developers
Sanderson, C., Douglas, D., Lu, Q., Schleiger, E., Whittle, J., Lacey, J., Newnham, G. J., Hajkowicz, S. A., Robinson, C., & Hansen, D. T. (2023) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2023.3257303 · Cited by 112 · see citing works
“Out of the numerous ethics frameworks and guidelines produced by governments and organisations, a broad consensus is emerging around what the major principles of AI ethics should be [9].”
BackgroundResultAI ethics education: A systematic literature review
Wiese, L. J., Patil, I., Schiff, D. S., & Magana, A. J. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100405 · Cited by 164 · see citing works
Ethics in human–AI teaming: principles and perspectives
Pflanzer, M., Traylor, Z., Lyons, J. B., Dubljević, V., & Nam, C. S. (2022) · AI and Ethics · doi:10.1007/s43681-022-00214-z · Cited by 106 · see citing works
“The first principle, promotion of human values, suggests that AI-based systems should be used for the common good and should be developed consistently with cross-cultural human values [8].”
BackgroundInfluentialEthics in the Software Development Process: from Codes of Conduct to Ethical Deliberation
Gogoll, J., Zuber, N., Kacianka, S., Greger, T., Pretschner, A., & Nida‐Rümelin, J. (2021) · Philosophy & Technology · doi:10.1007/s13347-021-00451-w · Cited by 92 · see citing works
AI, Opacity, and Personal Autonomy
Vaassen, B. (2022) · Philosophy & Technology · doi:10.1007/s13347-022-00577-5 · Cited by 94 · see citing works
“…documents published by civil society, the private sector, governments, intergovernmental organizations, and multi-stakeholder organizations by (Fjeld et al., 2020).14 Wachter et al. (2017) is an excep- 13They do list several texts that focus on the autonomy of those who deploy the algorithms,…”
BackgroundResultInfluentialThe role of empathy for artificial intelligence accountability
Srinivasan, R., & González, B. S. M. (2021) · Journal of Responsible Technology · doi:10.1016/j.jrt.2021.100021 · Cited by 97 · see citing works
Georgieva, 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
Exploring ethics and human rights in artificial intelligence – A Delphi study
Stahl, B. C., Brooks, L., Hatzakis, T., Santiago, N., & Wright, D. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122502 · Cited by 95 · see citing works
Ali, S. J., Christin, A., Smart, A., & Katila, R. (2023) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3593013.3593990 · Cited by 91 · see citing works
“of values like fairness, transparency, and accountability in building AI [11], for several reasons.”
BackgroundThe Ethics of AI Ethics. A Constructive Critique
Heilinger, J. (2022) · Philosophy & Technology · doi:10.1007/s13347-022-00557-9 · Cited by 80 · see citing works
Ethical considerations in emotion recognition technologies: a review of the literature
Katirai, A. (2023) · AI and Ethics · doi:10.1007/s43681-023-00307-3 · Cited by 73 · see citing works
Decolonizing AI Ethics: Relational Autonomy as a Means to Counter AI Harms
Mhlambi, S., & Tiribelli, S. (2023) · Topoi · doi:10.1007/s11245-022-09874-2 · Cited by 102 · see citing works
“…as it mainly emerges, to maintain people’s full control over themselves and AI systems (Floridi et al. 2018; IEEE 2019; HLEG-AI 2019; OECD 2019; Fjeld et al. 2020), as well as to privacy-preserving techniques based on informed consent (European Parliament 2017; IEEE 2017; Google AI 2018; WHO…”
Ibáñez, J., & Olmeda, M. V. (2021) · Ai & Society · doi:10.1007/s00146-021-01267-0 · Cited by 88 · see citing works
How safe is our reliance on AI, and should we regulate it?
LaGrandeur, K. (2020) · AI and Ethics · doi:10.1007/s43681-020-00010-7 · Cited by 83 · see citing works
“This is why it was soon derided in a letter signed by 156 experts on AI, ethics, and law [31].”
BackgroundInfluentialBanerjee, S., Alsop, P. H., Jones, L. A., & Cardinal, R. N. (2022) · Patterns · doi:10.1016/j.patter.2022.100506 · Cited by 83 · see citing works
“54 In the context of AI in health-care, this means involving patients and carers in the design and deployment of AI tools.”
BackgroundZhang, B., Anderljung, M., Kahn, L., Dreksler, N., Horowitz, M. C., & Dafoe, A. (2021) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.12895 · Cited by 82 · see citing works
“Over the past few years, corporations, governments, civil society groups, and multi-stakeholder organizations have published dozens of high-level AI ethics principles (Fjeld et al., 2020).”
BackgroundFairness Perceptions of Artificial Intelligence: A Review and Path Forward
Narayanan, D., Nagpal, M., McGuire, J., Schweitzer, S., & Cremer, D. D. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2210890 · Cited by 87 · see citing works
“This is somewhat surprising since concerns about the “ explainability ” and “ transparency ” of AI systems have long dominated research and policy-making conversations around what makes for an ethical AI (cf. Fjeld et al., 2020; Jobin et al., 2019).”
BackgroundEthics in the Age of AI: An Analysis of AI Practitioners’ Awareness and Challenges
Pant, A., Hoda, R., Spiegler, S. V., Tantithamthavorn, C. K., & Turhan, B. (2023) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3635715 · Cited by 82 · see citing works
“For instance, studies have been carried out to analyse ethical principles of AI [10, 21, 25, 42].”
BackgroundDeepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks
Lee, H.-P. (., Yang, Y.-J., Von Davier, T. S., Forlizzi, J., & Das, S. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642116 · Cited by 82 · see citing works
“Case studies on implementing HAI guidelines reveal stakeholders’ struggle with concepts of privacy and fairness [38, 60, 129].”
BackgroundChallenges of responsible AI in practice: scoping review and recommended actions
Sadek, M., Kallina, E., Bohné, T., Mougenot, C., Calvo, R. A., & Cave, S. (2024) · AI & Society · doi:10.1007/s00146-024-01880-9 · Cited by 92 · see citing works
“Studies comparing existing guidelines found that they are converging towards the same set of principles, even more in recent times (Jobin et al. 2019; Fjeld et al. 2020).”
InfluentialYu, S., Androsov, A., Yan, H., & Chen, Y. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105111 · Cited by 83 · see citing works
Ethical Challenges Associated with the Use of Artificial Intelligence in University Education
Marín, Y. R., Caro, O. C., Rituay, A. M. C., Llanos, K. A. G., Perez, D. T., Bardales, E. S., Tuesta, J. N. A., & Santos, R. C. (2025) · Journal of Academic Ethics · doi:10.1007/s10805-025-09660-w · Cited by 136 · see citing works
“As Gunkel (2012) and Fjeld (2020), have demonstrated, the strength of the Floridi framework does not lie in its normative rigid - ity; rather, it lies in its capacity to engage in dialogue with other approaches and to serve as a basis for ethical evaluation in scenarios where specific regulations…”
From Ethics Washing to Ethics Bashing: A View on Tech Ethics from Within Moral PhilosophyPreprint
Bietti, E. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3914119 · Cited by 79 · see citing works
Lukkien, D., Nap, H. H., Buimer, H. P., Peine, A., Boon, W., Ket, J. C. F., Minkman, M. M. N., & Moors, E. H. M. (2021) · The Gerontologist · doi:10.1093/geront/gnab180 · Cited by 85 · see citing works
“Studies that have dealt with responsible AI frameworks emphasize the importance of high-level principles such as transparency, justice, fairness, and nonmaleficence (Fjeld et al., 2020; Hagendorff, 2020; Jobin et al., 2019).”
BackgroundInvesting in AI for social good: an analysis of European national strategies
Foffano, F., Scantamburlo, T., & Cortés, À. (2022) · AI & Society · doi:10.1007/s00146-022-01445-8 · Cited by 80 · see citing works
Chatila, R., Dignum, V., Fisher, M., Giannotti, F., Morik, K. J., Russell, S., & Yeung, K. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-69128-8_2 · Cited by 82 · see citing works
AI ethics: the case for including animals
Singer, P., & Tse, Y. F. (2022) · AI and Ethics · doi:10.1007/s43681-022-00187-z · Cited by 83 · see citing works
Human autonomy in the age of artificial intelligence
Prunkl, C. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00449-9 · Cited by 76 · see citing works
“, who found that autonomy typically provides the theoretical grounding for principles of ‘human control of technology’ [14].”
BackgroundOrtega-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
“Inspired by the research of Morley et al. (2020), Fjeld et al. (2020), and Ayling and Chapman (2021), we created a diagram found at Tools 4Resp onsib leAI, specifically in the ‘Typology’ section of the website.”
InfluentialOctagon Measurement: Public Attitudes toward AI Ethics
Ikkatai, Y., Hartwig, T., Takanashi, N., & Yokoyama, H. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.2009669 · Cited by 82 · see citing works
“…AI ethics focusing on the eight global themes (“privacy,” “accountability,” “safety and security,” “transparency and explainability,” “fairness and non-discrimination,” “human control of technology,” “professional responsibility,” and “promotion of human values”) developed by Fjeld et al. (2020).”
BackgroundAI Certification: Advancing Ethical Practice by Reducing Information Asymmetries
Cihon, P., Kleinaltenkamp, M. J., Schuett, J., & Baum, S. D. (2021) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2021.3077595 · Cited by 77 · see citing works
“The growing societal implications of AI have prompted extensive attention to the ethics principles that should guide AI development and use [1, 2] and, more recently, some attention to how organizations can translate these principles into practice [3, 4, 5].”
Towards a roadmap on software engineering for responsible AI
Lu, Q., Zhu, L., Xu, X., Whittle, J., & Xing, Z. (2022) · IEEE/ACM International Conference on AI Engineering – Software Engineering for AI (CAIN) · doi:10.1145/3522664.3528607 · Cited by 74 · see citing works
“We use the ethical principles listed in Harvard University’s mapping study [2].”
BackgroundMethodMapping the regulatory landscape of AI in healthcare in Africa
Townsend, B. A., Sihlahla, I., Naidoo, M., Naidoo, S., Donnelly, D.-L., & Thaldar, D. W. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1214422 · Cited by 76 · see citing works
“However, limited, if any, research has been done on ascertaining the current AI regulatory landscape in the Global South, and in Africa, in particular (Wang and Siau, 2018; Jobin et al., 2019; Fjeld et al., 2020; Gerke et al., 2020).”
BackgroundFrom Ethics Washing to Ethics Bashing: A Moral Philosophy View on Tech Ethics
Bietti, E. (2021) · Journal of Social Computing · doi:10.23919/jsc.2021.0031 · Cited by 156 · see citing works
Shneiderman, B. (2021) · Communications of the ACM · doi:10.1145/3445973 · Cited by 71 · see citing works
The assessment list for trustworthy artificial intelligence: A review and recommendations
Radclyffe, C. J. T., Ribeiro, M., & Wortham, R. H. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1020592 · Cited by 71 · see citing works
“” There have been many critiques of “principles” based approaches to AI Ethics and AI Governance, yet organizations seemingly turn to this as a first step and too often conclude that this is the only step toward what is needed to be done (Jobin et al., 2019; Whittlestone et al., 2019; Fjeld et al., 2020).”
BackgroundDixon, R. B. L. (2022) · AI and Ethics · doi:10.1007/s43681-022-00205-0 · Cited by 81 · see citing works
- Authors
- Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., & Srikumar, M.
- Affiliations
- Harvard University (US)
- Corresponding author
- Fjeld, Jessica
- ORCID
- Srikumar, Madhulika
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2020
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2999331643
- Cited by
- 998
- References
- 19
- Citations by year
- 2026: 114 · 2025: 231 · 2024: 186 · 2023: 180 · 2022: 143 · 2021: 102 · 2020: 41 · 2019: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Law, AI, and Intellectual Property
- Keywords
- AI principles, AI ethics, human rights-based approach, AI governance, privacy, accountability, safety and security, transparency and explainability, human control of technology, professional responsibility
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