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Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical
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“Ethical challenges include concerns about bias, opacity, and data privacy, particularly in contexts where student data are increasingly used for analytics and monitoring (Ayyoub et al., 2025;Floridi, 2019).”
From Teachers' Experiences with AI in K–12 Education: Opportunities and Challenges (2026) · cites this paper as Floridi, 2019
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“Concerns related to algorithmic bias, data privacy, and transparency are well documented, particularly in relation to vulnerable populations such as children (Floridi, 2019;Jobin et al., 2019).”
From Teachers' Experiences with AI in K–12 Education: Opportunities and Challenges (2026) · cites this paper as Floridi, 2019
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Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018) · Minds and Machines · doi:10.1007/s11023-018-9482-5 · Cited by 4,774
Self-citationDelmas, M. A., & Burbano, V. C. (2011) · California Management Review · doi:10.1525/cmr.2011.54.1.64 · Cited by 3,441 · cited 1×
“In environmental ethics, greenwashing (Delmas and Burbano 2011) is the malpractice of a private or public actor seeking to appear greener, more sustainable, or ecologically friendlier than it actually is.”
BackgroundEstablishing the rules for building trustworthy AI
Floridi, L. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0055-y · Cited by 394
Self-citationWiener, N. (1960) · Science · doi:10.1126/science.131.3410.1355 · Cited by 367 · cited 2×
“In the ethics of AI, see for example (Wiener1960; Samuel 1960).”
BackgroundSoft ethics, the governance of the digital and the General Data Protection Regulation
Floridi, L. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2018.0081 · Cited by 234
Self-citationFloridi, L. (2016) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2016.0112 · Cited by 227
Self-citationDistributed Morality in an Information Society
Floridi, L. (2013) · Science and Engineering Ethics · doi:10.1007/s11948-012-9413-4 · Cited by 201
Self-citationDon’t let industry write the rules for AI
Benkler, Y. (2019) · Nature · doi:10.1038/d41586-019-01413-1 · Cited by 120
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- Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial intelligence and the ‘good society’: the US, EU, and UK approach. Science and Engineering Ethics, 24(2), 505–528.
- Floridi, L. (2015). The ethics of information. Oxford: Oxford University Press.
- Mazzini, Gabriele. forthcoming. A system of governance for artificial intelligence through the lens of emerging intersections between AI and EU law. in Digital revolution - new challenges for law, edited by a. De Franceschi, R. Schulze, M. Graziadei, O. Pollicino, F. Riente, S. Sica and P. Sirena. SSRN: https://ssrn.com/abstract=3369266 .
- Nordling, L. (2018). Europe’s biggest research fund cracks down on “ethics dumping”. Nature, 559(7712), 17. · DOI
- Samuel, A. L. (1960). Some moral and technical consequences of automation—a refutation. Science, 132(3429), 741–742. · DOI
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Items 101–200 of 398
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
“Floridi (2019) identifies risks in the transition from what to how that include: digital ethics shopping, “bluewashing” (i.e., digital greenwashing), lobbying, ethics dumping (outsourcing to other actors), and shirking.”
BackgroundMökander, J., Sheth, M., Gersbro-Sundler, M., Blomgren, P., & Floridi, L. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.1068361 · Cited by 52
“If not, corporate AI governance may simply persuade managers to outsource unethical or risky projects (Floridi, 2019).”
BackgroundSelf-citationPolat, M., Karataş, İ. H., & Varol, N. (2025) · Leadership and Policy in Schools · doi:10.1080/15700763.2024.2412204 · Cited by 28
“Notable contributions to this field include the works of researchers and research teams such as Boddington (2017), Floridi (2019), Jobin et al. (2019), Whittaker et al. (2018) and Winfield and Jirotka (2018).”
Aitken, M., Ng, M., Horsfall, D., Coopamootoo, K. P. L., van Moorsel, A., & Elliott, K. (2021) · Technology and Society · doi:10.1016/j.techsoc.2021.101666 · Cited by 28
Lehoux, P., Rivard, L., de Oliveira, R. R., Mörch, C., & Alami, H. (2022) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2022.104933 · Cited by 34
Becker, S. J., Nemat, A. T., Lucas, S., Heinitz, R. M., Klevesath, M., & Charton, J. E. (2022) · AI & Society · doi:10.1007/s00146-021-01376-w · Cited by 59
“Indeed, the translation of “lofty” principles (Mittelstadt 2019) into robust and opera-tionalisable guidelines that can enable truly informed decisions on the ground has been identified as a key challenge for digital ethics (Floridi 2019; Blackman 2020; Morley et al. 2021a).”
BackgroundReconsidering the regulation of facial recognition in public spaces
Solarova, S., Podroužek, J., Mesarčík, M., Gavorník, A., & Bieliková, M. (2022) · AI and Ethics · doi:10.1007/s43681-022-00194-0 · Cited by 29
“In some cases, this massive proliferation of ethics in regulation of Information and Communication Technology (ICT) and Artificial Intelligence have even given rise to serious doubts concerning the “ethification” [31] and “ethics bluewashing” [32] to name only two of them.”
BackgroundAI ethics and its pitfalls: not living up to its own standards?
Hagendorff, T. (2022) · AI and Ethics · doi:10.1007/s43681-022-00173-5 · Cited by 28
“…may allow the successful and persuasive conduct of actual malpractices like choosing ethical principles that retrofit pre-existing behaviors, making misleading or unsubstantial claims about ethical measures, exploiting ethics to delay or avoid necessary regulation, etc. [62] in the first place.”
BackgroundStarke, G., Schmidt, B. R., Clercq, E. D., & Elger, B. S. (2022) · AI and Ethics · doi:10.1007/s43681-022-00177-1 · Cited by 21
“Yet, despite international attempts to provide ethical guidelines for the development of responsible or trustworthy AI and develop a suitable regulatory framework, there remains large uncertainty whether and how such principles translate into practice [14].”
BackgroundArtificial intelligence assistants and risk: framing a connectivity risk narrative
Cunneen, M., Mullins, M., & Murphy, F. (2019) · AI & Society · doi:10.1007/s00146-019-00916-9 · Cited by 31
“The phenomenon of connectivity presents unique digital risks which change and grow in complexity, as the technology changes the forms of connectivity (Zuboff 1988, 1996; Van Loon 2003; Turkle 2006, 2011; Lupton 2016; Floridi 2019).”
BackgroundWhy Do Companies Employ Prohibited Unethical Artificial Intelligence Practices?
Méndez-Suárez, M., de Obesso, M. D. L. M., Márquez, Ó. C., & Palacios, C. M. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3258686 · Cited by 34
“Following Floridi [36], we consider that to avoid AIEF, we need to establish clear, shared, and publicly accepted ethical standards.”
BackgroundMethodBlanchard, A., Thomas, C., & Taddeo, M. (2023) · Social Science Research Network · doi:10.2139/ssrn.4517701 · Cited by 25
Ethical Dilemmas of Using Artificial Intelligence in Medicine
Astărăstoae, V., Rogozea, L. M., Leaşu, F., & Ioan, B. G. (2024) · American Journal of Therapeutics · doi:10.1097/mjt.0000000000001693 · Cited by 36
“86 AI companies affirm their adherence to the ethical values they claim to adhere to in developing their own products, 84 but they do not provide sufficient data to be able to analyze these products ethically as they do with other products, such as medicines, which leads to sustained debate and…”
AI Guidelines and Ethical Readiness Inside SMEs: A Review and Recommendations
Soudi, M., & Bauters, M. (2024) · Digital Society · doi:10.1007/s44206-024-00087-1 · Cited by 44
“According to Floridi (2019), establishing clear and publicly accepted ethical guidelines might help private organisations subscribe to those ethical guidelines instead of cooking their ethics.”
Never Mess With the “Memers”: How Meme Creators Are Redefining Contemporary Politics
Mihăilescu, M.-G. (2024) · Social Media + Society · doi:10.1177/20563051241296256 · Cited by 22
“Digital ethics frameworks, such as those proposed by Floridi (2019) and Wachter (2018), emphasize the need for responsible and accountable creation and dissemination of digital content, balancing freedom of expression with ethical considerations.”
Toward a better digital future: Balancing the utopic and dystopic ramifications of digitalization
Chatterjee, S., & Sarker, S. (2024) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2024.101834 · Cited by 18
Taddeo, M., Blanchard, A., & Thomas, C. (2024) · Philosophy & Technology · doi:10.1007/s13347-024-00710-6 · Cited by 22
Living well with AI: Virtue, education, and artificial intelligence
Smith, N., & Vickers, D. C. (2024) · Theory and Research in Education · doi:10.1177/14778785241231561 · Cited by 35
“Floridi (2019) estimated that, circa 2019, there were over 70 such frameworks being advanced by various groups, each with their own areas of interest, aims, specializations, agendas, and ways of specifying their principles.”
BackgroundMulti-scale digital twins for personalized medicine
Vallée, A. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1753906 · Cited by 21
“Democratizing AI” and the Concern of Algorithmic Injustice
Lin, T.-A. (2024) · Philosophy & Technology · doi:10.1007/s13347-024-00792-2 · Cited by 22
“Notably, concerns have been raised regarding the quality of these principles, revealing that they tend to be abstract, lack theoretical ground, and fail to provide concrete guidance for practice (Floridi, 2019; Hagendorff, 2020).”
The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI
Powers, S. T., Linnyk, O., Guckert, M., Hannig, J., Pitt, J. V., Urquhart, N., Ekárt, A., Gumpfer, N., Han, T., Lewis, P. R., et al. (2023) · IEEE technology & society magazine · doi:10.1109/mts.2023.3341463 · Cited by 20
“Education of both the general public as well as other stakeholders such as executive board members can help guard against this [37], as can strengthening the role of the commentariat and academia.”
BackgroundOn the Development of AI Governance Frameworks
Almeida, V. A. F., Mendes, L. S., & Doneda, D. (2023) · IEEE Internet Computing · doi:10.1109/mic.2022.3186030 · Cited by 20
“In Brazil, there have been similar trends toward creating a new legislation for AI.”
BackgroundInfluentialConstructing Commercial Data Ethics
Taylor, L., & Dencik, L. (2020) · Technology and Regulation · doi:10.26116/techreg.2020.001 · Cited by 20
Management and Leadership for Digital Transformation in Tourism
Pesonen, J. A. (2020) · Springer eBooks · doi:10.1007/978-3-030-05324-6_68-1 · Cited by 49
AI washing: A conceptual exploration
Elhajjar, S., & Itani, O. S. (2025) · Academy of Marketing Science Review · doi:10.1007/s13162-025-00323-y · Cited by 19
“Attard-Frost et al. (2023); Bietti (2020); Connelly et al. (2011); Floridi (2019); Seele and Schultz (2022); Thomas and Lamm (2012); Legitimacy Theory: Companies gain immediate credibility by aligning themselves with cutting-edge technology trends.”
The human role to guarantee an ethical AI in healthcare: a five-facts approach
Iniesta, R. (2023) · AI and Ethics · doi:10.1007/s43681-023-00353-x · Cited by 30
“Some works argued that a narrower focus should be put on elaborating strategies for clinicians, developers, and patients to effectively translate AI ethical principles into practice [15, 22, 25].”
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
“…research being more ethical than it really is), ethical shirking (i.e., lowering the commitments to ethical values while seeking the same returns), and ethics lobbying by conflicted ethics groups that might attempt to legitimize their sets of ethics through political or other means (Floridi 2019).”
BackgroundModels of law and regulation for AI
Petit, N., & Cooman, J. D. (2020) · The Routledge Social Science Handbook of AI · doi:10.2139/ssrn.3706771 · Cited by 19
Applying generative AI ethically in HRD practice
Yorks, L., & Jester, M. (2024) · Human Resource Development International · doi:10.1080/13678868.2024.2337963 · Cited by 18
“The conceptual models provided by Claretha Hughes (2010, 2019) address the ethical issues involved to connect human resource development with technology development.”
BackgroundMethodBlanchard, A., Thomas, C., & Taddeo, M. (2024) · Ai & Society · doi:10.1007/s00146-024-01866-7 · Cited by 18
“This, in turn, may reduce AI ethics efforts to a meaning-less façade, voided of any concrete outcomes and induce malpractices, like ethics bluewashing 2 (Floridi 2019, 185).”
InfluentialIn defense of ethical guidelines
Lundgren, B. (2023) · AI and Ethics · doi:10.1007/s43681-022-00244-7 · Cited by 25
“…and audits), and for accountability or responsibility requirements (see, e.g., [1–4, 9, 12, 14, 22, 23]) serves to respond to the concern of so-called “ethics-washing” or “bluewashing” [8], in which companies misuse ethical guidelines to make it seem as if they are ethical when they are not.”
BackgroundA framework for assessing AI ethics with applications to cybersecurity
Bruschi, D., & Diomede, N. (2022) · AI and Ethics · doi:10.1007/s43681-022-00162-8 · Cited by 18
“Fortunately, some authors [6, 8] noted that there is a substantial overlap between the different sets of principles proposed, and suggested to condense them in a set of 4, 5 principles that outline the fundamental traits of an AI application.”
BackgroundResultInfluentialEthics of AI and Health Care: Towards a Substantive Human Rights Framework
Liao, S. M. (2023) · Topoi · doi:10.1007/s11245-023-09911-8 · Cited by 17
“, Ethical and Societal Implications of Algorithms, Data, and Artificial Intelligence: A Roadmap for Research (London: Nuffield Foundation, 2019); Luciano Floridi et al., “AI4people-an Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations,” Minds and machines 28, no. 4 (2018). 1…”
BackgroundInfluentialAssessing computer science student attitudes towards AI ethics and policy
Weichert, J., Kim, D., Zhu, Q., Kim, J., & Eldardiry, H. (2025) · AI and Ethics · doi:10.1007/s43681-025-00817-2 · Cited by 17
“Private companies may choose to implement policies governing their AI systems for a variety of reasons, including adapting to consumer opinion or preempting stricter AI controls by the government [7, 21].”
Herzog, C., & Blank, S. (2024) · Journal of Responsible Innovation · doi:10.1080/23299460.2024.2431350 · Cited by 17
Situating AI in assessment—an exploration of university teachers’ valuing practices
Sporrong, E., McGrath, C., & Pargman, T. C. (2024) · AI and Ethics · doi:10.1007/s43681-024-00558-8 · Cited by 18
“The benchmark for how AI should be developed ethi-cally, set by guidelines [21] and approaches drawing on an entity perspective on values [7], may overlook how valuing is reconfigured in interplay with practice.”
de Manuel, A., Delgado, J., Jounou, I. P., Ausín, T., Casacuberta, D., Cruz, M., Guersenzvaig, A., Moyano, C., Rodríguez-Arias, D., Rueda, J., et al. (2023) · Big Data & Society · doi:10.1177/20539517231179199 · Cited by 17
“Even if any sort of triage implies at least a modest scarcity of healthcare resources, in these cases the medical approach of triage changes and the focus “ can no longer be on each individual but must shift to the population as a whole ” (Frykberg, 2005).”
BackgroundThe Ethics of Artificial Intelligence in Defence
Taddeo, M. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780197745441.001.0001 · Cited by 30
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 33
“Similarly, the lack of robust metrics for evaluating the ethical implications of XAI systems, as highlighted by Floridi’s discussion of “ethics bluewashing," further compounds the risk of superficial ethical engagement (Floridi, 2019).”
InfluentialTowards AI ethics-led sustainability frameworks and toolkits: Review and research agenda
Cumming, D. J., Saurabh, K., Rani, N., & Upadhyay, P. (2024) · Journal of Sustainable Finance and Accounting · doi:10.1016/j.josfa.2024.100003 · Cited by 38
Towards a Feminist Metaethics of AI
Siapka, A. (2022) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3514094.3534197 · Cited by 18
“…standards [...] from a variety of available offers, in order to retrofit some pre - existing behaviours (choices, processes, strategies, etc.), and hence justify them a posteriori, instead of implementing or improving new behaviours by benchmarking them against public, ethical standards’ [24:186].”
BackgroundCalderón, R., & Herrera, F. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04650-0 · Cited by 20
Stroud, A. M., Anzabi, M. D., Wise, J. L., Barry, B. A., Malik, M. M., McGowan, M. L., & Sharp, R. R. (2024) · Mayo Clinic Proceedings Digital Health · doi:10.1016/j.mcpdig.2024.100189 · Cited by 25
Boldt, J., & Orrù, E. (2022) · Sustainable Futures · doi:10.1016/j.sftr.2022.100086 · Cited by 15
“It has been maintained, for example, that principles may come into conflict with each other, that these lists of principles lack theoretical unity and that they may reinforce a questionable box-ticking attitude towards ethical challenges [11 – 13].”
An Inclusive and Sustainable Artificial Intelligence Strategy for Europe Based on Human Rights
Fernández-Aller, C., de Velasco, A. F., Manjarrés, Á., Pastor-Escuredo, D., Pickin, S., Criado, J., & Ausín, T. (2021) · IEEE technology & society magazine · doi:10.1109/mts.2021.3056283 · Cited by 15
“However, the resulting fragmented and largely corporate-based mosaic of ethical frameworks, codes, and guidelines, many of which suffer from deficiencies such a lack of scientific rigor, subjectiveness, incoherence, superficiality, and redundance, creates confusion [15], [16].”
BackgroundGlobal Health in the Age of AI: Charting a Course for Ethical Implementation and Societal Benefit
Morley, J., Hine, E., Roberts, H., Sirbu, R. A., Ashrafian, H., Blease, C., Boyd, M., Chen, J. L., Filho, A. D. P. C., Coiera, E. W., et al. (2025) · Minds and Machines · doi:10.1007/s11023-025-09730-3 · Cited by 19
“This abundance complicates framework selection for specific use cases and increases risks of ethics washing, shopping, shirking, dumping, or lobbying (Floridi, 2019).”
Self-citationWang, H., & Blok, V. (2025) · Big Data & Society · doi:10.1177/20539517251340620 · Cited by 14
“Therefore, AI ethics is undergoing a practical turn , trying to translate abstract values and principles into concrete design practices (Floridi, 2019; Hagendorff, 2022).”
Heymans, F., & Heyman, R. (2024) · Data & Policy · doi:10.1017/dap.2024.66 · Cited by 14
“Potential risks also include ethics bashing, where stakeholders intentionally undermine or criticize ethical principles to advance their interests (Bietti, 2020), or ethics shopping (Floridi, 2019), where stakeholders selectively adopt and promote ethical principles that align with their interests.”
Herzog, C., Blank, S., & Stahl, B. C. (2024) · AI & Society · doi:10.1007/s00146-024-02082-z · Cited by 18
“…technology are notions that have spawned a sustained philosophical debate (cf. Andras et al. 2018; Durán and Formanek 2018; Durán and Jongsma 2021; Floridi 2019a, b; Laux et al. 2023; Nickel et al. 2010; Rieder et al. 2020; Ruokonen 2013; Ryan 2020) The common rationale adopted by some appears to…”
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps
Gao, D., Haverly, A., Mittal, S., Wu, J., & Chen, J.-D. (2024) · International Journal of Business Analytics · doi:10.4018/ijban.338367 · Cited by 14
“While Floridi expressed skepticism about doomsday scenarios associated with superintelligence (Floridi, 2019), influential figures such as Elon Musk and late Stephen Hawking took the idea seriously.”
BackgroundEthical and legal considerations for nutrition virtual coaches
Calvaresi, D., Carli, R., Piguet, J.-G., Contreras, V., Luzzani, G., Najjar, A., Calbimonte, J.-P., & Schumacher, M. (2022) · AI and Ethics · doi:10.1007/s43681-022-00237-6 · Cited by 14
“To date, the debate on new technologies is primarily formulated in terms of ethical guidelines rather than legal dispositions [153].”
BackgroundGarani-Papadatos, T., Natsiavas, P., Meyerheim, M., Hoffmann, S., Karamanidou, C., & Payne, S. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.730430 · Cited by 14
Steen, M., Timan, T., & van de Poel, I. (2021) · AI and Ethics · doi:10.1007/s43681-021-00063-2 · Cited by 25
Revenue Management and E-Tourism: The Past, Present and Future
Serrano, L. G., & Ballestero, P. T. (2020) · Springer eBooks · doi:10.1007/978-3-030-05324-6_76-1 · Cited by 15
AspectFL: Aspect-Oriented Programming for Trustworthy and Compliant Federated Learning Systems
Alsobeh, A., Shatnawi, A., & Magableh, A. A. A. R. (2025) · Information · doi:10.3390/info16121048 · Cited by 16
de Grefte, J., & de Bruin, B. (2025) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2025.101522 · Cited by 13
Limits to AI Growth: The Ecological and Social Consequences of ScalingPreprint
Bhardwaj, E., Alexander, R., & Becker, C. (2025) · arXiv (Cornell University) · doi:10.48550/arxiv.2501.17980 · Cited by 17
“” [50, p. 189].”
Ethical guidelines for the use of artificial intelligence and the challenges from value conflicts
Petersen, T. (2021) · Etikk i Praksis: Nordic Journal of Applied Ethics · doi:10.5324/eip.v15i1.3756 · Cited by 13
“Roughly speaking, ethics shopping can be specified as the practice of choosing certain ethical principles from a variety of such principles in order to justify one’s behaviour a posteriori, ‘instead of implementing or improving new behaviours by benchmarking them against public, ethical standards [e.g. ethical guideli…”
BackgroundInfluentialFunctionally Effective Conscious AI Without Suffering
Agarwal, A., & Edelman, S. (2020) · Journal of Artificial Intelligence and Consciousness · doi:10.48550/arxiv.2002.05652 · Cited by 13
“With the growing presence of autonomous software and devices in daily life, the ethics of Artificial Intelligence (AI) has rightly become an intensely researched and debated topic (e.g., McCulloch, 1956; Metzinger, 2013b; Dignum, 2018; Kuipers, 2019; Floridi, 2019; Jobin et al., 2019).”
BackgroundPetricini, T. (2025) · Ai & Society · doi:10.1007/s00146-025-02586-2 · Cited by 12
“Language shapes the social and political realities of AI adoption, influencing public trust, regulatory frameworks, and the ethical norms surrounding its development and deployment (Floridi 2019, 2024).”
Bartlett, B. (2024) · The New Bioethics · doi:10.1080/20502877.2025.2482282 · Cited by 12
“Floridi (2019) consolidates these failures into five risks of being unethical: ethics shopping; ethics washing; ethics lobbying; ethics dumping; and ethics shirking.”
Artificial Intelligence (AI) in Early Childhood Education (ECE): Do Effects and Interactions Matter?
Fikri, Y., & Rhalma, M. (2024) · International Journal of Religion · doi:10.61707/y74fv875 · Cited by 18
Beyond principles: Embedding ethical AI risks in public sector risk management practice
Sattlegger, A., & Bharosa, N. (2024) · Digital Government Research · doi:10.1145/3657054.3657063 · Cited by 12
“Second, Floridi [14:188] argues that the risk of lack of explicability is unique to AI systems.”
BackgroundPromoting Local Cuisine on Social Media: A Strategic Communication Approach
Widjanarko, W., Lusiana, Y., Istiyanto, S. B., Novianti, W., & Evgenievna, L. N. (2024) · Komunikator · doi:10.18196/jkm.20763 · Cited by 17
“Therefore, it is crucial to skillfully navigate ethical considerations in order to guarantee a respectful and effective digital culinary promotion (Dwifedi et al., 2020; Floridi, et al, 2019).”
BackgroundThe Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
Mökander, J., Sheth, M., Watson, D., & Floridi, L. (2023) · Minds and Machines · doi:10.1007/s11023-022-09620-y · Cited by 24
“…ethical principles can be undermined by unethical practices like ‘ethics blue washing’, i.e., making unsub-stantiated claims about AI systems to appear more ethical than they are, or ‘eth-ics lobbying’, i.e., exploiting ethics to delay or avoid necessary legislation (Ferretti, 2021; Floridi, 2019).”
BackgroundSelf-citationLi, M., Wan, Y., & Gao, J. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107286 · Cited by 13
Zhu, Y., & Hussain, W. M. H. W. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.101870 · Cited by 12
Engines of Patriarchy: Ethical Artificial Intelligence in Times of Illiberal Backlash Politics
Schopmans, H., & Cupać, J. (2021) · Ethics and International Affairs · doi:10.1017/s0892679421000356 · Cited by 12
Towards an experiential ethics of AI and robots: A review of empirical research on human encounters
Fischer, B., & Frennert, S. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124264 · Cited by 14
The Gaps that Never Were: Reconsidering Responsible AI’s Principle-Practice Problem
Ruster, L. P., & Davis, J. L. (2025) · Conference on Fairness, Accountability and Transparency · doi:10.1145/3715275.3732024 · Cited by 11
“This notion of translation from principles to practice has stuck; some refer to it as ‘operationalizing AI ethics’ [27, 37] or the ‘what’ (principles) and ‘how’ (practice) of AI ethics [18].”
Lehoux, P., de Oliveira, R. R., Rivard, L., da Silva, H. P., Alami, H., Mörch, C., & Malas, K. (2023) · Journal of Medical Internet Research · doi:10.2196/48496 · Cited by 15
“First, these tools are highly heterogeneous, which may facilitate “mixing and matching” [18] principles that do not rely on a solidly defined conceptual framework.”
Hyperrealistic Jurisprudence: The Digital Age and the (Un)Certainty of Judge Analytics
Ferreira, D., & Gromova, E. (2023) · International Journal for the Semiotics of Law · doi:10.1007/s11196-023-10015-0 · Cited by 11
Ha, Y. J. (2022) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3531146.3533091 · Cited by 11
“…years, scholars in AI ethics have been concerned with the question of how relevant institutions and stakeholders should translate the theory underlying AI ethics principles, guidelines, and codes into practice in the form of implementable technical and legal mechanisms [4, 14–16, 33, 47–49, 79].”
BackgroundAccess Denied: Meaningful Data Access for Quantitative Algorithm Audits
Zaccour, J., Binns, R., & Rocher, L. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713963 · Cited by 10
“Without proper governance, audit-washing risks hindering progress towards rigorous algorithmic evaluations [23, 56, 63, 75].”
Nitzl, C., Cyran, A., Krstanovic, S., & Borghoff, U. M. (2025) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2025.1540450 · Cited by 14
Bebien, V., Bellenguez‐Morineau, O., Coppin, G., Ma-Wyatt, A., & Stephens, R. G. (2024) · AI and Ethics · doi:10.1007/s43681-024-00459-w · Cited by 7
“This accumulation of guidelines may also cause what Floridi called ’ethics shopping’ [34]: picking the guidelines or principles that would ’retrofit some pre-existing behaviours’, thus avoiding having to make changes that would be too inconvenient.”
Towards Human-Centric Psychomotor Recommender Systems
Portaz, M., Manjarrés, Á., & Santos, O. (2023) · User Modeling, Adaptation, and Personalization · doi:10.1145/3563359.3596993 · Cited by 10
“As disclosed in [14] it is urgent to ground the practice of AI engineering in ethical principles.”
BackgroundExcavating "Excavating AI": The Elephant in the Gallery
Lyons, M. J. (2020) · Social Science Research Network · doi:10.5281/zenodo.4037538 · Cited by 10
“There are similarities with two types of digital ethics malpractice identified by Luciano Floridi [16].”
BackgroundMiller, R. (2020) · New Electronics · doi:10.2307/j.ctt1cn6t6p.9 · Cited by 10
“38”
Groen, E., Sharon, T., & Becker, M. (2026) · AI and Ethics · doi:10.1007/s43681-025-00955-7 · Cited by 9
Coovadia, H., Marx, B., Botha, I., & Gold, N. O. (2025) · South African Journal of Accounting Research · doi:10.1080/10291954.2025.2523661 · Cited by 9
“The AI HLEG (2019) noted further notes that AI systems can operate based on symbolic rules, learn numeric models , and adapt their behaviour to environmental feedback on their previous actions.”
InfluentialKhani, A., Shahriari, M., & Rexhepi, G. (2025) · Technology and Society · doi:10.1016/j.techsoc.2025.102950 · Cited by 9
The Digital Siren’s Call: Accepting Unethical AI Advice
Xu, C., Xu, H., Sun, Y.-Q., & Xiong, W. (2024) · International journal of human computer interactions · doi:10.1080/10447318.2024.2400396 · Cited by 9
“This research aligns with and extends previous work on ethical decision-making in organizations (Trevi ~ no et al., 2006) and the ethical issues surrounding the use of AI in various contexts (Floridi, 2019a; Mittelstadt et al., 2016; Whittlestone et al., 2019).”
Global perspectives on governing healthcare AI: prioritising safety, equity and collaboration
Laein, G. D. (2024) · BMJ Leader · doi:10.1136/leader-2023-000904 · Cited by 13
Häußler, H. (2021) · Libri · doi:10.1515/libri-2021-0095 · Cited by 6
“This evolvement illustrates an unresolved tension between the aimof unification (Floridi 2019) and the acknowledgment of complex and singular situations which require specific principles (van den Hoven 2010; Vayena and Tasioulas 2016).”
BackgroundInfluentialStrategising imaginaries: How corporate actors in China, Germany and the US shape AI governance
Mao, Y.-S., Richter, V., & Katzenbach, C. (2025) · Big Data & Society · doi:10.1177/20539517251400727 · Cited by 8
“…and principles from companies as forms of ‘ ethics washing ’ , ‘ ethics shopping ’ , or ‘ ethics shirking ’ that de fl ect regulation while preserving reputations (Floridi, 2019; Greene et al., 2019; Wagner, 2018), others view them as private ordering with public impact, akin to corporate…”
InfluentialOur data, ourselves: Participation, justice, and alternative futures of data sovereignty in India
Dutta, S., & Mazumdar, S. (2025) · Big Data & Society · doi:10.1177/20539517251365235 · Cited by 11
“…by illiberal, authoritarian regimes against so-called Western democratic systems and rights-based data governance, and the romanticising of the category of the South, and argue instead for a critical approach to the biases, incongruences and contradictory aspects of Southern knowledge (2019: 326).”
InfluentialMoral decision-making in AI: A comprehensive review and recommendations
Ram, J. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124150 · Cited by 11
Halal servicescape in the metaverse
Noor, N., Sharifonnasabi, F., & Nallarasan, N. K. (2024) · Journal of Islamic Marketing · doi:10.1108/jima-01-2024-0016 · Cited by 8
Gupta, N. (2022) · International Journal of Science and Research Archive · doi:10.30574/ijsra.2022.7.1.0274 · Cited by 8
Human Rights and Algorithmic Impact Assessment for Predictive Policing
Castets-Renard, C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108914857.007 · Cited by 18
Secure IoT Analytics for Fast Deterioration Detection in Emergency Rooms
Caruccio, L., Piazza, O., Polese, G., & Tortora, G. (2020) · IEEE Access · doi:10.1109/access.2020.3040914 · Cited by 8
Manipulation: An integrative framework of unethical influence in marketing
Arango, M. F., & Garz, M. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115476 · Cited by 18
Valuable actions and actionable values: Tinkering with principles and practices in AI ethics
Moats, D., & Trifuljesko, S. (2025) · Sociology Review · doi:10.1177/00380261251316661 · Cited by 7
“…taken actions - ethics bluewashing: tokenistic actions, ethics as a PR campaign - ethics lobbying: ethics as alternative to legislation - ethics dumping: exporting unethical practices to countries with laxer laws - ethics shrinking: doing the minimum when more is not demanded (Floridi, 2019).”
Overcoming AI ethics, towards AI realism
Murgia, M. (2024) · AI and Ethics · doi:10.1007/s43681-024-00552-0 · Cited by 7
“This fog of meaning facilitates finding a suitable definition for these terms that readily conforms to existing practices and covers up potential moral harms [5, 25].”
Wernick, A., Banzuzi, E., & Mörelius-Wulff, A. (2023) · Internet Policy Review · doi:10.14763/2023.1.1698 · Cited by 9
Development of an ethical roadmap
Craig, C., Wallace, J., Montague, K., Koulidou, N., Fisher, H., Carvalho, L. P., Groot, L. I., Trueman, J., Lawson, S. W., Morrissey, K., et al. (2021) · Design for Health · doi:10.1080/24735132.2021.1908653 · Cited by 6
“Questions have been raised as to whether existing ethical frameworks are sufficiently robust in light of the evolving innovations including research utilizing increasing applications of Artificial Intelligence (AI) (Floridi 2019).”
BackgroundInternational Trade Law Meets Data Ethics: A Brave New WorldPreprint
Mishra, N. (2020) · Social Science Research Network · doi:10.2139/ssrn.3689412 · Cited by 7
A transparência no centro da construção de uma IA ética
Arbix, G. (2020) · Novos Estudos CEBRAP · doi:10.25091/s01013300202000020008 · Cited by 7
A Toolkit to Enable the Design of Trustworthy AI
Schmager, S., & Sousa, S. (2021) · Interacción · doi:10.1007/978-3-030-90963-5_41 · Cited by 7
Metadata
- Authors
- Floridi, L.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Floridi, Luciano
- ORCID
- Floridi, Luciano
- Venue
- Philosophy & Technology
- Published
- 2019-05-23
- Volume
- 32
- Issue
- 2
- Pages
- 185-193
- ISSN
- 2210-5433 (ISSN-L)
- 2210-5441
- OpenAlex
- W2944988415
- Cited by
- 524
- References
- 0
- Citations by year
- 2026: 93 · 2025: 99 · 2024: 95 · 2023: 85 · 2022: 57 · 2021: 52 · 2020: 39 · 2019: 4
- FWCI
- 66.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Philosophy & Technology (publishedVersion)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Ethics in Business and Education
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- digital ethics, ethical principles, unethical practices, AI ethics, online services
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