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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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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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- 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 .
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Wilson, A., & Burleigh, C. L. (2026) · International Journal of AI in Pedagogy Innovation and Learning Futures · doi:10.46787/ijaipil.v2026i1.6963 · Cited by 6
“Hybrid intelligence models offer significant opportunities for innovation, without delegating professional judgment or ethical accountability to AI systems (Dellermann et al., 2019; Floridi, 2019).”
InfluentialDeveloping 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 8
“…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).”
EFFECTIVE USE OF ARTIFICIAL INTELLIGENCE TOOLS IN STEM EDUCATION: PERSPECTIVES OF STEM EDUCATORS
Uyar, A. (2025) · Journal of Baltic Science Education · doi:10.33225/jbse/25.24.552 · Cited by 9
Solving AI ethics? Hybrid expertise and professional power in EU ethics governance
Gamerdinger, A., & Willers, J. O. (2025) · Journal of European Public Policy · doi:10.1080/13501763.2025.2499113 · Cited by 6
“…risk to the overarching governance aim of creating an ‘ecosystem of trust’ as practitioners might adjust ambiguous ethics guidelines to their own ‘optimal criteria’, rather than ‘criteria of social prefer-ability’ (Morley et al ., 2021, p. 243), opening the door to ethics shopping (Floridi, 2019).”
Weichert, J., & Eldardiry, H. (2025) · 2025 ASEE Annual Conference & Exposition Proceedings · doi:10.18260/1-2--56314 · Cited by 6
“Moreover, AI regulation is prone to be influences by ideological differences [2] and lobbying by AI companies themselves [27].”
Hallucination in Large Language Models: From Mechanistic Understanding to Novel Control Frameworks
Zhang, W., Zhang, C., Gu, C., Kou, J., Yuan, H., Fang, X., Duan, X., & Fang, Y. (2024) · International Conference on Universal Village (UV) · doi:10.1109/uv63228.2024.11189226 · Cited by 6
“[ 104] The autonomy paradox emerges in professional contexts.”
Inteligencia artificial en la toma de decisiones: implicaciones éticas y eficiencia
Barreto, A. M. B., Arrascue, E. D. O., Alegre, L. R. R., & Padilla, R. D. P. L. (2024) · Revista Venezolana de Gerencia · doi:10.52080/rvgluz.29.e11.20 · Cited by 6
“Los desarrolladores y usuarios de sistemas de IA deben asumir la responsabilidad por las decisiones tomadas por estos sistemas, incluso en casos de errores o sesgos (Ramió, 2019; Floridi, 2019).”
BackgroundPublic Computing Intellectuals in the Age of AI Crisis
Connolly, R. W. (2024) · ACM Transactions on Computing Education · doi:10.1145/3703162 · Cited by 7
“…have dismissed this effort as a form of “ethics theatre” or “ethics washing” in which the professed public statements of ethical self-commitments are mainly a show for outside observers that is ultimately motivated by the industry’s desire to prevent or delay legal regulations [15, 67, 134, 189].”
The Impact of AI on US Labor Markets
Unuriode, A., Okoro, S., Afolabi, O., Durojaiye, O., López, A., Babatunde, Y., & Akinwande, M. (2024) · Artificial Intelligence and Big Data · doi:10.5121/csit.2024.140403 · Cited by 6
“Policymakers, ethicists, and legal experts are crucial in ensuring responsible AI deployment [45, 46].”
BackgroundDancy, C. L., & Workman, D. (2024) · AAAI Fall Symposia · doi:10.1609/aaaiss.v2i1.27685 · Cited by 6
“Though one would likely still want actual humans farther down the testing pipeline, and there remains the risk of using such systems for further ethics washing (Floridi, 2019), such an application should prove to be very useful in a tool-kit of possible audits.”
BackgroundImplementing Digital Literacy Policies and the Challenges of Towards Smart City in Palembang City
Isabella, I., & Agustian, E. (2023) · Journal of Governance and Local Politics (JGLP) · doi:10.47650/jglp.v5i2.936 · Cited by 6
“Digital ethics are the moral principles and values that guide individual behavior in the digital world (Floridi, 2019).”
BackgroundSAF: Stakeholders’ Agreement on Fairness in the Practice of Machine Learning Development
Curto, G., & Comim, F. (2023) · Science and Engineering Ethics · doi:10.1007/s11948-023-00448-y · Cited by 10
“63 % o f t ec hno l og i ca l w o r k e r s d ec l a r e t h a t t h e y n ee d m o r e ti m e a nd r e s ou r ce s t o t h i nk a bou t t h e i m p ac t o f t h e i r w o r k ( M ill e r & C o l d i c o tt , 2019 ) .”
BackgroundThe dark side of public values in algorithmic systems
Moats, D., Ruckenstein, M., Kristensen, D. B., Eidenskog, M., Elhadj, E., Lehtiniemi, T., Møhl, P., Žagar, A. P., Tanninen, M., & Velkova, J. (2026) · Dialogues on Digital Society · doi:10.1177/29768640261457507 · Cited by 5
“This disconnect shares some common ground with the idea of ‘ Ethics Bluewashing ’ proposed by Floridi (2019) and others.”
Mubarak, F. (2026) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-08-2025-0212 · Cited by 7
Ethics label for digital systems to promote transparency and user awareness
Autili, M., Corsi, R., Sanctis, M. D., Inverardi, P., & Pelliccione, P. (2025) · Journal of Systems and Software · doi:10.1016/j.jss.2025.112752 · Cited by 13
Decoding AI ethics: What do ethical tools tell us about ethics?
Portegies, T., Hajri, O., Willemsen, L., & Harbers, M. (2025) · Ethics and Information Technology · doi:10.1007/s10676-025-09860-3 · Cited by 5
A Review of Ethical Challenges in AI for Emergency Management
Yuan, X.-J., Guo, Q.-Y., Dadson, Y., Goodarzi, M., Jung, J., Dong, Y.-J., Albert, N., Bennett-Gayle, D., Sharma, P., Ogunbayo, O. T., et al. (2025) · Knowledge · doi:10.3390/knowledge5030021 · Cited by 5
“Due to the evolving nature of the AI capabilities, a consistently forward-thinking approach is important for reducing risks and making ethical improvements [132,133].”
Ağaoğlu, F. O., Tarsuslu, S., Koçak, D., & Baş, M. (2025) · BMC Psychology · doi:10.1186/s40359-025-03283-x · Cited by 7
“In this direction, compliance with international standards and regional legislation on AI is not only limited to technical requirements but is also considered a reflection of ethical responsibility [3, 16].”
Frimpong, V. (2025) · International Journal of Organizational Leadership · doi:10.33844/ijol.2025.60525 · Cited by 8
“Therefore, decision-makers must utilize transparent, interpretable AI models to critically evaluate technical outputs and maintain ethical oversight as leadership increasingly interacts with algorithms (Azeem al., 2023; Floridi, 2019).”
Stock, R., & Kegel, M. M. (2025) · International Journal of Social Robotics · doi:10.1007/s12369-025-01239-0 · Cited by 6
Artificial Intelligence and Privacy Concerns: Balancing Innovation With Security
Viswanath, V., M., T., & Naganandh, S. (2025) · Cureus Journal of Computer Science · doi:10.7759/s44389-025-03689-z · Cited by 5
“Balancing AI-driven innovation with privacy protection is a critical challenge to ensure that technological advancements do not infringe on individual rights [14].”
The Limitations of Data, Machine Learning and Us
Baeza-Yates, R. (2024) · SIGMOD Conference Companion · doi:10.1145/3626246.3656000 · Cited by 5
“Specific risks and more examples are given in [14, 25], but disinformation, impersonation, digital bullying, or copyright violations are rampant due to generative AI.”
BackgroundKatirai, A., & Nagato, Y. (2024) · AI and Ethics · doi:10.1007/s43681-024-00477-8 · Cited by 5
“However, there is a robust body of literature raising concerns about the way in which practical problems arising from the development and use of AI are abstracted into vague terms in ethical principles, as well as challenges in operationalizing AI ethics principles in practice (e.g. [25].).”
Augmenting morality through ethics education: the ACTWith model
White, J. B. (2024) · AI & Society · doi:10.1007/s00146-024-01864-9 · Cited by 8
“This “tick-boxy” nature encourages a sort of ethics-washing, with practitioners shopping-around for theories which, if not strictly endorsing morally divergent aims, do not forbid them (cf. Floridi 2019; Morley et al. 2020).”
Nemat, A. T., Becker, S. J., Lucas, S., Thomas, S., Gadea, I., & Charton, J. E. (2023) · Minds and Machines · doi:10.1007/s11023-023-09654-w · Cited by 13
“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 ).”
InfluentialThe latent space of data ethics
Panai, E. (2023) · Ai & Society · doi:10.1007/s00146-023-01757-3 · Cited by 5
“(Floridi 2019).”
InfluentialEthical Artificial Intelligence in the Italian Defence: a Case Study
Fanni, R., & Giancotti, F. (2023) · Digital Society · doi:10.1007/s44206-023-00056-0 · Cited by 5
‘You’re walking on eggshells’: exploring subjective experiences of workplace tracking
Bowell, P., Smith, G. J. D., Pechenkina, E., & Scifleet, P. (2023) · Culture and Organization · doi:10.1080/14759551.2023.2198717 · Cited by 5
“This should include safeguards for the transparent and ethical use of AI (Floridi 2019; Laker et al. 2020).”
MethodAI4Eq: For a True Global Village Not for Global Pillage
Manjarrés, Á., Pickin, S., Artaso, M., & Gibbons, E. (2021) · IEEE technology & society magazine · doi:10.1109/mts.2021.3056290 · Cited by 5
“…the general public, has resulted in the publication of more than 70 reports by large organizations in the last few years according to [8] and [9] points to the need to bring order to the resulting landscape of overabun-dance of ethical codes, guidelines, and frameworks, many of which suffer…”
BackgroundInfluentialAprendizaje-Servicio y Agenda 2030 en la formación de ingenieros de la tecnología inteligente.
Manjarrés, Á., & Pickin, S. (2021) · Revista Diecisiete Investigación Interdisciplinar para los Objetivos de Desarrollo Sostenible · doi:10.36852/2695-4427_2021_04.03 · Cited by 5
Descriptive AI Ethics: Collecting and Understanding the Public OpinionPreprint
Lima, G., & Cha, M. (2021) · arXiv.org · doi:10.48550/arxiv.2101.05957 · Cited by 5
“Corporations might choose to implement superficial measures to appear more ethically aligned than they are [20].”
Myth and technology: Finding philosophy’s role in technological change
Brayford, K. M. (2020) · Human Affairs · doi:10.1515/humaff-2020-0045 · Cited by 5
“…suggests, attention must be paid as to “how ethics can be effectively and successfully applied and implemented [. . .] to make a positive difference” (Floridi, 2019, p. 185), in order to prevent the translation of “principles into practice [. . .] be[ing] undermined by some ethical risks” (2019,…”
BackgroundDeciding How to Decide: Six Key Questions for Reducing AI’s Democratic Deficit
Cowls, J. (2020) · Digital ethics lab yearbook · doi:10.1007/978-3-030-29145-7_7 · Cited by 4
The Quest for Actionable AI Ethics
Ruttkamp, E. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-66151-9_3 · Cited by 14
“…sets of AI ethics policies available at present (Algorithm Watch 2020) rather than having “clear, shared, and publicly accepted ethical standards” (Floridi 2019a); (2) ethics bluewashing: pretending to work, or working superficially together towards establishing trustworthy AI instead of…”
BackgroundWhy is plausibility surprisingly problematic as an XAI criterion?
Jin, W., Li, X., & Hamarneh, G. (2023) · arXiv · doi:10.48550/arxiv.2303.17707 · Cited by 4
“But explanation truthfulness or faithfulness is not an intrinsic or de facto property of XAI algorithms, and this assumption may not hold true unless it is explicitly validated [50, 64].”
Governing Ethics for the Digital Transformation: Developing, Testing, and Validating a Framework
Pullen, E., Ruijer, E., & Meijer, A. (2026) · Government Information Quarterly · doi:10.1016/j.giq.2026.102117 · Cited by 4
Ethics and the governance of digital data in humanitarian action.
Lidén, K. (2025) · Disasters. The Journal of Disaster Studies, Policy and Management · doi:10.1111/disa.70018 · Cited by 4
Watson, E. ‘., Amer, A., Harris, E., Ravindra, P., & Zhang, S. (2025) · Information · doi:10.3390/info16080651 · Cited by 5
AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How
Veisi, O., Bahrami, S., Englert, R. A., & Müller, C. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757397 · Cited by 7
“Additionally, ethics can be utilized to achieve marketing objectives [31].”
Contemplative Artificial IntelligencePreprint
Laukkonen, R., Inglis, F., Chandaria, S., Sandved-Smith, L., Lopez-Sola, E., Hohwy, J., Gold, J., & Elwood, A. (2025) · arXiv (Cornell University) · doi:10.48550/arxiv.2504.15125 · Cited by 9
“(Garfield, 1995; Agrawal & Laukkonen, 2024) Sees no essential “other” to exploit; competitive logic recedes (Josipovic, 2016; 2019; Ho et al., 2023) Detects power-grabbing subgoals early, enabling self-correction (Renze & Guven, 2024) (Cheng et al., 2024) Actively “cares” for all entities,…”
InfluentialOn the need for a global AI ethics
Lundgren, B., Catena, E., Robertson, I., Hellrigel-Holderbaum, M., Jaja, I. R., & Dung, L. (2024) · Journal of Global Ethics · doi:10.1080/17449626.2024.2425366 · Cited by 9
“…principles, or standards to fit with their practices); ethics bluewashing (i.e. the technological version of environmental greenwashing); and ethics dumping (i.e. when unethical practices are done in regions where it is legally permissible or legal controls are simply too lax) (Floridi 2019).”
Li, L.-Q. (2024) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-023-12443-8 · Cited by 4
“Digital ethics, covering moral principles and rules of conduct in the digital world, is becoming an increasingly common concept as technology penetrates the educational process and, in particular, personal life (Floridi, 2019).”
New ethnographic perspective on relational ethics in the field of Artificial intelligence
Pavlović, P., & Fink, M. H. (2023) · Quality & Quantity · doi:10.1007/s11135-023-01751-3 · Cited by 5
“…current situation in the field, where the ethical turn is obvious: within only a few years, industry, academia, and international organisations have created more than 70 documents (norms, principles, regulations, directives, guidelines) for an ethical AI (Floridi et al. 2021; Morley et al. 2020).”
InfluentialÉtica digital discursiva: de la explicabilidad a la participación
García-Marzá, D. (2023) · Daimon · doi:10.6018/daimon.562821 · Cited by 4
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“These systems are claimed to have the potential to bring a wide-range of socio-economic benefits [14].”
BackgroundThe Ethics of Going Deep: Challenges in Machine Learning for Sensitive Security Domains
Eusebi, A., Vasek, M., Cockbain, E., & Mariconti, E. (2022) · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) · doi:10.1109/eurospw55150.2022.00063 · Cited by 5
“Ethics washing is described as “the malpractice of making misleading claims about, or implementing superficial measures in favour of, the ethical values and benefits of digital processes [...] in order to appear more digitally ethical than one is” (Floridi, 2021).”
BackgroundLim, E., Park, H., & Kim, B.-Y. (2022) · The Florida AI Research Society · doi:10.32473/flairs.v35i.130713 · Cited by 4
SALUD DIGITAL, SALUD GLOBAL Y ETICA. UNA MIRADA DESDE EL ENFOQUE DE DERECHOS HUMANOS.
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Positive AI: Key Challenges for Designing Wellbeing-aligned Artificial Intelligence
van der Maden, W., Lomas, D., & Hekkert, P. (2023) · arXiv.org · doi:10.48550/arxiv.2304.12241 · Cited by 4
“Whether these are cases of “ethics washing” (Floridi, 2019) or have actual benefit to wellbeing is currently unknown to the public and academia, as research on their effects is not shared publicly.”
BackgroundA 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
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Negotiating creator identity: agency and ethical awareness in AI-assisted art education
Lee, H., Yu, W., & Lee, J. (2026) · Ai & Society · doi:10.1007/s00146-026-03187-3 · Cited by 3
“In this context, existing research on AI ethics has largely been discussed from a principle-based perspective, focusing on fairness, transparency, accountability, and explainability (Floridi 2019; Hagendorff 2022; Munn 2023; Wiese et al. 2025).”
The BEETS framework for responsible artificial intelligence
Tettegah, S. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01597-2 · Cited by 3
“The model further recognizes that meaningful discussions of trust in AI require sustained ethical governance, informed by foundational work in digital philosophy [17].”
Decoupling in AI ethics: Learning how to walk the talk
Dotan, R., Gershoni, T., Hadar, I., & Luria, G. (2026) · Empirical Software Engineering · doi:10.1007/s10664-026-10861-z · Cited by 3
“Floridi ( 2019 ) , Bietti ( 2020 ) , and Schultz et al. ( 2024 ) distinguished between AI ethics washing and related phenomena.”
Deepfake: A Boon for Pediatric Dental Patients
Tasgaonkar, A., Joshi, R., Chavan, H., Tasgaonkar, M., & Rathi, N. V. (2025) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.12561 · Cited by 3
Operationalising digital ethics: establishment of an ethics evaluation tool for data analytics
Charton, J. E., Lucas, S., Vogd, W., Halter, W., & Becker, S. J. (2025) · AI & Society · doi:10.1007/s00146-025-02621-2 · Cited by 5
“It is equally important to avoid the exploitation and manipulation of ethics as a corporate means to justify actions retrospectively, commonly referred to as “ethics shopping” (Floridi 2019).”
How and why governments are regulating AI: a comparison of legislative frameworks
Dylag, M. (2025) · Information Communication & Society · doi:10.1080/1369118x.2025.2556745 · Cited by 7
The AI-Fraud Diamond: A Novel Lens for Auditing Algorithmic Deception
Zweers, B., Dey, D., & Bhaumik, D. (2025) · arXiv.org · doi:10.48550/arxiv.2508.13984 · Cited by 3
“Ethics washing, meanwhile, involves organizations presenting superficial ethical commitments or overstating capabilities in responsible/explainable AI to deflect scrutiny (Floridi 2019).”
The AI Policy Module: Developing Computer Science Student Competency in AI Ethics and Policy
Weichert, J., Dunlap, D., Farghally, M., & Eldardiry, H. (2025) · Frontiers in Education Conference · doi:10.1109/fie63693.2025.11328642 · Cited by 3
“Having established this common definition, we outline influences on AI policy across the private [19], [20] and public [5], [6], [19] sectors.”
Non-Human Agents: Exploring Modern AI Through the Lens of Contemporary Ontology and Theology
Rufiner, H. L., S.J., J. G. F., Asla, M., Giovanini, L., & Majul, E. A. (2025) · Theology and Science · doi:10.1080/14746700.2025.2514297 · Cited by 3
“As Floridi 73 points out: Digital technologies are not just tools that are limited to changing the way we interact with the world … They are above all systems that shape (format) and increasingly influence the way we understand the world and relate to it, as well as the way we conceive of ourselves…”
Mundt, M., Ovalle, A., Friedrich, F., Pranav, A., Paul, S., Brack, M., Kersting, K., & Agnew, W. (2025) · arXiv.org · doi:10.48550/arxiv.2502.03038 · Cited by 3
“This facilitates "ethics shopping" or "ethics bluewashing" [58], respectively cherry-picking what can be satisfied and using superficial measures in favor of positive appearance.”
Lambrecht, F., & Moreno, M. (2024) · American Philosophical Quarterly · doi:10.5406/21521123.61.4.07 · Cited by 3
“Ethics washing refers to the malpractice of making “unsubstantiated claims” or “imple-menting superficial measures” regarding the ethical value of AI tools to appear ethical (Floridi 2019, p. 3).”
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
“…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).”
Calzati, S., & Ploeger, H. (2024) · Big Data & Society · doi:10.1177/20539517241270687 · Cited by 3
“…2021) and produces forms of tokenization of ethics to the bene fi t of the industry (Metcalf et al., 2019), as well as against the inef fi cacy of the released documents, which often translate into forms of ‘ ethics washing ’ (Floridi, 2019) lacking a concrete political impact (van Maanen, 2022).”
¿Tienen Derechos los Algoritmos?
Arencibia, M. G., Ordóñez, H., & González-Sanabria, J.-S. (2024) · Praxis & Saber · doi:10.19053/22160159.v15.n43.2024.16779 · Cited by 6
den Hartog, F. B., van den Akker, R., & van Houdt, F. (2023) · Cities · doi:10.1016/j.cities.2023.104690 · Cited by 6
Explainability in Process Mining: A Framework for Improved Decision-Making
Nannini, L. (2023) · AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1145/3600211.3604729 · Cited by 3
“These could confuse non-expert recipients through information overload; provide biased information if mitigation and auditing mechanisms are not set in place [3]; or worse leverage risks connected to intellectual property, trade secret, and third-parties privacy violations [7, 14]; as well as opportunities for gaming…”
BackgroundCurto, G., & Comim, F. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4397259 · Cited by 7
“Existing AI ethics guidelines focus the effort on the “what” and fall short on clarifying the operationalization of AI ethics (Floridi 2019; Morley, Elhalal, et al. 2021; Morley, Kinsey, et al. 2021; Vakkuri et al. 2020; Vakkuri and Kemell 2019).”
BackgroundApropos Data Sharing: Abandon the Distrust and Embrace the Opportunity
Pisoni, G. B., & Taddeo, M. (2021) · DNA and Cell Biology · doi:10.1089/dna.2021.0501 · Cited by 4
“…products, services, or other solutions, in other contexts or places (e.g., by European organizations outside the EU) in ways that would be ethically unacceptable in the context or place of origin and (b) importing the outcomes of such unethical research activities’’ (Floridi, 2019, p. 190).”
Human-data interaction and user rights at the personal robot era
Chatzimichali, A., & Chrysostomou, D. (2019) · Artificial Intelligence, Robots and Ethics · doi:10.13180/icres.2019.29-30.07.014 · Cited by 3
“It is, however, time for the debate to move from what those ethical principles dictate to how they get implemented.(2) This work presents issues related to the current legal standing on data governance and explores for the first time how the definition of personal and non-personal data may impact personal robots under…”
BackgroundRaina, A., & Garima (2024) · Journal of Informatics Education and Research · doi:10.52783/jier.v4i3.1482 · Cited by 3
Langlois, L., & Régis, C. (2021) · Reflections on Artificial Intelligence for Humanity · doi:10.1007/978-3-030-69128-8_10 · Cited by 3
Engaging stakeholders, shaping AI ethics: Targeted engagement in corporate AI ethics statements
Ye, M., & Friginal, E. (2026) · PLoS ONE · doi:10.1371/journal.pone.0340796 · Cited by 2
“Corporate sustainability communication focuses on developing value propositions that address the needs of various stakeholders, particularly regarding social impact [84,85].”
Kladko, S., Lavazza, A., Yu, X., & Farina, M. (2026) · International Journal of Innovation Studies · doi:10.1016/j.ijis.2026.100181 · Cited by 7
Closing the AI benefits gap: Systems design for population health equity.
Morley, J., & Floridi, L. (2026) · Public Health · doi:10.1016/j.puhe.2026.106205 · Cited by 2
Self-citationAccounting for EU external effects: from clinical trials to data colonialism to AI ethics dumping
van Kolfschooten, H. V., Parwani, P., & Perehudoff, K. (2026) · International Journal of Law in Context · doi:10.1017/s1744552325100323 · Cited by 2
“2017, 2019; Novoa-Heckel et al .”
From design to decommissioning: TAFES framework for responsible AI
Loucif, S., Sharma, R., Kshetri, N., & Zahid, A. (2025) · Law, Ethics & Technology · doi:10.55092/let20250009 · Cited by 2
“[20 – 22] emphasized the transformative impact of AI on society and the need for ethical considerations in AI governance.”
Wang, F., & Ji, F. (2025) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-04-2025-0281 · Cited by 2
Communication experiment with moral-based chatbot: toward solution of divisions in democracy
Miwa, K., Yamakawa, M., Nakahara, A., & Shimada, A. (2025) · AI & Society · doi:10.1007/s00146-025-02377-9 · Cited by 2
“We, therefore, recommend user empowerment measures, such as the ability to view, review, or adjust the moral or ideological “settings” of chatbots (Floridi 2019).”
AI ethics strategies and practices in organizations: a scoping review
Marcoux, A. M. (2025) · International Journal of Ethics and Systems · doi:10.1108/ijoes-02-2024-0060 · Cited by 2
Analysis of Artificial Intelligence on Economical Sustainability
Gaur, N. K., & Kumar, A. (2025) · International Conference on Communication, Security and Artificial Intelligence (ICCSAI) · doi:10.1109/iccsai64074.2025.11063808 · Cited by 2
“The rapid development of AI enables us to analyze large datasets, provide predictions on trends, and automate traditional processes in many areas (e.g. agriculture, energy, and manufacturing [10]) which can help to make better decisions [8].”
Can generative artificial intelligence help or hinder sustainable marketing?
McCarthy, B. (2024) · Journal of Resilient Economies (ISSN 2653-1917) · doi:10.25120/jre.4.2.2024.4153 · Cited by 2
Embedded Ethics and the “Soft Impacts” of Technology
Tigard, D. W., Braun, M., Breuer, S., Fiske, A., McLennan, S., & Buyx, A. (2024) · Bulletin of Science, Technology & Society · doi:10.1177/02704676241298162 · Cited by 2
“…trap ’ (Felt et al., 2013), ending up as little more than publicity cam-paigns or attempts at ‘ ethics washing ’ , whereby organizations and companies merely promote ethical awareness for the sake of pro fi t or a favorable public image (Bietti, 2020; Floridi, 2019; Metcalf et al., 2019).”
Castro, G. D. R., González, C., & Colsa, Á. U. (2024) · International Conference on ICT for Sustainability (ICT4S) · doi:10.1109/ict4s64576.2024.00032 · Cited by 2
“Machine-washing, coined by Wagner [48], is a deceptive strategy in AI and algorithms, fabricating an illusory façade of positive change, evading scrutiny, and potentially influencing regulations [49].”
Algorithmic Impact Assessment for an Ethical Use of AI in SMEs
Mbuy, S. P., & Ortolani, M. (2022) · Electronic Workshops in Computing · doi:10.14236/ewic/hci2022.34 · Cited by 2
“However, while there is general agreement about the need to build upon concepts like responsibility, transparency, fairness, privacy, sustainability and explicability (Yeung 2020; Hagendorff 2020; Jobin et al. 2019; Floridi 2019), their full adoption and embedding into the design and implementation of algorithmic syst…”
Health-Related Digital Autonomy. A Response to the Commentaries
Laacke, S., Mueller, R., Schomerus, G., & Salloch, S. (2021) · The American Journal of Bioethics · doi:10.1080/15265161.2021.1965257 · Cited by 5
Why Talking about ethics is not enough: a proposal for Fintech's AI ethicsPreprint
de Oliveira, C. G. B., & Ruiz, E. (2021) · arXiv.org · doi:10.48550/arxiv.2102.07213 · Cited by 2
“Luciano Floridi [22] highlighted five unethical risks due to the increase of recommendations related to ethics in artificial intelligence applications: 1.”
BackgroundInfluentialMarwick, B., Phạm, T. S., & Ko, M. (2020) · SPAFA Journal · doi:10.26721/spafajournal.v4i0.625 · Cited by 2
“While ethics dumping can apply to any kind of research, it is most serious and most often discussed in health-related and biological contexts where there are international agreements and frameworks and international institutions monitoring their application or enforcement (Floridi 2019).”
BackgroundUpstream of value disconnects: The model-ready city and the material conditions of urban AI
Shu, T.-H. (2026) · Dialogues on Digital Society · doi:10.1177/29768640261479430 · Cited by 1
Ammon, S. (2026) · Philosophy & Technology · doi:10.1007/s13347-026-01134-0 · Cited by 1
“In AI ethics this challenge is currently referred to by the catchphrase “principles-to-practice gap” (e.g. Bleher & Braun, 2023 ; Corrêa et al., 2024; Floridi, 2019; Morley et al., 2020, 2021, 2023; Taddeo et al., 2024; Zhou & Chen, 2023); the issue at stake is the operationalization and…”
Nasaj, M. (2026) · Management Decision · doi:10.1108/md-06-2025-1670 · Cited by 1
Esterhuyse, L., Amosh, H. A., & Khatib, S. F. A. (2026) · EDPACS: The EDP Audit, Control, and Security Newsletter · doi:10.1080/07366981.2026.2666289 · Cited by 1
AI in criminal sentencing: mapping the ethical terrain
Vogt, D. C. (2026) · AI and Ethics · doi:10.1007/s43681-026-01062-x · Cited by 2
From ethics washing to enforceable accountability: hospitals as hubs of digital constitutionalism
Canato, M. C. (2026) · Ai & Society · doi:10.1007/s00146-026-02980-4 · Cited by 1
“Second, it creates conditions of moral hazard, insofar as the symbolic existence of ethics or AI oversight boards may be invoked to signal due diligence even when their recommendations are not substantively implemented (Floridi 2019a, b; Bovens 2007).”
Principle-based AI ethics: challenges and prospects
Kiorgaard, S. (2026) · AI and Ethics · doi:10.1007/s43681-025-00959-3 · Cited by 1
Khan, A. A., & Thurow, K. (2026) · Sensors · doi:10.3390/s26061840 · Cited by 1
Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis
Mathes, S., Seurig, S., Willem, T., Dechant, M., Traidl, S., Kang, M., Pinto, P. M., Binder, A., Biedermann, T., & Darsow, U. (2026) · JEADV Clinical Practice · doi:10.1002/jvc2.70287
Beyond Abstract Compliance: Operationalising trust in AI as a moral relationship
Amugongo, L. M., Asino, T., & Bidwell, N. J. (2026) · arXiv.org · doi:10.48550/arxiv.2601.22769 · Cited by 1
Europe’s Regulatory Sovereignty in the Age of Artificial Intelligence
Kulesza, J. (2025) · Sprawy Miedzynarodowe · doi:10.35757/sm.2025.78.4.07 · Cited by 1
Huy, P. Q., & Phuc, V. K. (2025) · Applied Artificial Intelligence · doi:10.1080/08839514.2025.2513740 · Cited by 2
“Floridi (2019) suggests that private organizations could be encouraged to adhere to ethical norms by adopting explicit and widely acknowledged ethical standards, hence reducing the likelihood of them manipulating their ethical principles.”
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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