Dr Michel Loi, AI ETHICS EXPERT BUSINESS CONSULTANT RESEARCH LEADER Logo
Dr Michel Loi, AI ETHICS EXPERT BUSINESS CONSULTANT RESEARCH LEADER Logo
Dr Michel Loi, AI ETHICS EXPERT BUSINESS CONSULTANT RESEARCH LEADER Logo

ACADEMIC publications

ARTICLES IN INTERNATIONAL JOURNALS
BUSINESS REPORTS
CONFERENCE PROCEEDINGS
BOOK CHAPTERS
BOOKS

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journals
reports
PROCEEDINGS
BOOKS
CHAPTERS

Journal articles

Loi, M., Herlitz, A., & Heidari, H. (2023). Fair equality of chances for prediction-based decisions. Economics & Philosophy, 1–24.

Loi, M., Ferrario, A., & Viganò, E. (2023). How much do you trust me? A logico-mathematical analysis of the concept of the intensity of trust. Synthese, 201(6), 186.

Loi, M., Nappo, F., & Viganò, E. (2023). How I Would have been Differently Treated. Discrimination Through the Lens of Counterfactual Fairness. Res Publica, 29(2), 185–211.

Baumann, J., & Loi, M. (2023). Fairness and Risk: An Ethical Argument for a Group Fairness Definition Insurers Can Use. Philosophy & Technology, 36(3), 45.

Castro, C., & Loi, M. (2023). The Fair Chances in Algorithmic Fairness: A Response to Holm. Res Publica, 29(2), 331–337.

Loi, M., Dehaye, P.-O., & Hafen, E. (2023). Towards Rawlsian ‘property-owning democracy’ through personal data platform cooperatives. Critical Review of International Social and Political Philosophy, 26(6), 769–787.

Loi, M., Hauser, C., & Christen, M. (2022). Highway to (Digital) Surveillance: When Are Clients Coerced to Share Their Data with Insurers? Journal of Business Ethics, 175(1), 7–19.

Ferrario, A., & Loi, M. (2022). The Robustness of Counterfactual Explanations Over Time. IEEE Access, 10, 82736–82750.

Loi, M. (2021). How to fairly incentivise digital contact tracing. Journal of Medical Ethics, 47(12), e76–e76.

Loi, M., Ferrario, A., & Viganò, E. (2021). Transparency as design publicity: Explaining and justifying inscrutable algorithms. Ethics and Information Technology, 23(3), 253–263.

Loi, M., & Christen, M. (2021). Choosing how to discriminate: Navigating ethical trade-offs in fair algorithmic design for the insurance sector. Philosophy & Technology, 34(4), 967–992.

Ferrario, A., Loi, M., & Viganò, E. (2020a). In AI We Trust Incrementally: A Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions. Philosophy & Technology, 33(3), 523–539.

Ferrario, A., Loi, M., & Viganò, E. (2020b). Trust does not need to be human: It is possible to trust medical AI. Journal of Medical Ethics.

Loi, M. (2019). The Digital Phenotype: A Philosophical and Ethical Exploration. Philosophy & Technology, 32(1), 155–171

Loi, M., Christen, M., Kleine, N., & Weber, K. (2019). Cybersecurity in health – disentangling value tensions. Journal of Information, Communication and Ethics in Society, 17(2), 229–245.

Loi, M. (2018). Nobody’s DNA but mine. Journal of Medical Ethics, 44(11), 790–790.

Weber, K., Loi, M., Christen, M., & Kleine, N. (2018). Digital medicine, cybersecurity and ethics: An uneasy relationship. American Journal of Bioethics, 18(9), 52–53.

Loi, M., & Dehaye, P.-O. (2017). If Data is the New Oil, When Is The Extraction of Value From Data Unjust. Philosophy and Public Issues, 7(2), 138–178.

Riso, B., Tupasela, A., Vears, D. F., Felzmann, H., Cockbain, J., Loi, M., Kongsholm, N. C. H., Zullo, S., & Rakic, V. (2017). Ethical sharing of health data in online platforms – which values should be considered? Life Sciences, Society and Policy, 13(1), 12.

Feeney, O., Borry, P., Felzmann, H., Galvagni, L., Haukkala, A., Loi, M., Nordal, S., Rakic, V., Riso, B., Sterckx, S., & Vears, D. (2017). Genuine participation in participant-centred research initiatives: The rhetoric and the potential reality. Journal of Community Genetics, 9, 133–142

Loi, M. (2016a). Direct to consumer genetic testing and the libertarian right to test. Journal of Medical Ethics, 42(9), 574–577.

Kollar, E., & Loi, M. (2015). Prenatal Equality of Opportunity. Journal of Applied Philosophy, 32(1), 35–49.

Loi, M. (2015). Technological unemployment and human disenhancement. Ethics and Information Technology, 17(65), 1–10.

Del Savio, L., Loi, M., & Stupka, E. (2015). Epigenetics and Future Generations. Bioethics, 29(8), 580–587.

Loi, M. (2014a). Food Labels, Genetic Information, and the Right Not to Know. Kennedy Institute of Ethics Journal, 24(4), 323–344.

Loi, M. (2014b). Why Postnatal Abortion Throws the Baby out with the Bath Water. Monash Bioethics Review, 31(2), 60–82.

Loi, M., Del Savio, L., & Stupka, E. (2013). Social Epigenetics and Equality of Opportunity. Public Health Ethics, 6(2), 142–153.

Loi, M. (2013a). Normal Functioning and Public Reason. Cambridge Quarterly of Healthcare Ethics, 22(02), 136–145.

Loi, M. (2013b). You cannot have your normal functioning cake and eat it too. Journal of Medical Ethics, 39(12), 748–751.

Loi, M. (2012a). Germ-line Enhancements and Rough Equality. Ethical Perspectives, 19(1), 55–82.

Loi, M. (2012b). Introduction: Genetics and Justice. Ethical Perspectives, 19(1), 1–10.

Loi, M. (2012c). On the Very Idea of Genetic Justice. Cambridge Quarterly of Healthcare Ethics, 21(01), 64–77.

CONFERENCE PROCEEDINGS

Ferrario, A., & Loi, M. (2022). How Explainability Contributes to Trust in AI. 2022 ACM Conference on Fairness, Accountability, and Transparency, 1457–1466.

Viganò, E., Hertweck, C., Heitz, C., & Loi, M. (2022). People are not coins: Morally distinct types of predictions necessitate different fairness constraints. 2022 ACM Conference on Fairness, Accountability, and Transparency, 2293–2301.

Loi, M., & Heitz, C. (2022). Is calibration a fairness requirement?: An argument from the point of view of moral philosophy and decision theory. 2022 ACM Conference on Fairness, Accountability, and Transparency, 2026–2034.

Loi, M., & Spielkamp, M. (2021). Towards Accountability in the Use of Artificial Intelligence for Public Administrations. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 757–766.

Hertweck, C., Heitz, C., & Loi, M. (2021). On the Moral Justification of Statistical Parity. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 747–757.

Loi, M., Heitz, C., & Christen, M. (2020). A Comparative Assessment and Synthesis of Twenty Ethics Codes on AI and Big Data. 2020 7th Swiss Conference on Data Science (SDS), 41–46.

Heidari, H., Loi, M., Gummadi, K. P., & Krause, A. (2019). A Moral Framework for Understanding Fair ML Through Economic Models of Equality of Opportunity. Proceedings of the Conference on Fairness, Accountability, and Transparency, 181–190.

Loi, M., Heitz, C., Ferrario, A., Schmid, A., & Christen, M. (2019). Towards an Ethical Code for Data-Based Business. 2019 6th Swiss Conference on Data Science (SDS), 6–12.

Loi, M., Ferrario, A., & Viganò, E. (2019, May 28). Transparency As Design Publicity: Explaining and Justifying Inscrutable Algorithms. CEPE (Computer Ethics—Philosophical Enquiry).

books

Christen, M., Gordijn, B., & Loi, M. (Eds.). (2020). The Ethics of Cybersecurity. Springer International Publishing.

Loi, M., & Mordacci, R. (2012). Etica e genetica. Storia, concetti, pratiche. Mondadori Bruno.

Loi, M. (2011). Giustizia e genetica. Bruno Mondadori.

book chapters

Loi, M. (2020). What Contribution Can Philosophy Provide to Studies of Digital Well-Being. In C. Burr & L. Floridi (Eds.), Ethics of Digital Well-Being: A Multidisciplinary Approach (pp. 101–118). Springer International Publishing.

Viganò, E., Loi, M., & Yaghmaei, E. (2019). Cybersecurity of critical infrastructure. In M. Christen, G. Bert, & M. Loi (Eds.), The Ethics of Cybersecurity. Springer International Publishing

Jaquet-Chiffelle, D.-O., & Loi, M. (2019). Ethical and unethical hacking. In M. Christen, B. Gordijn, & M. Loi (Eds.), The Ethics of Cybersecurity. Springer International Publishing

Loi, M., & Christen, M. (2019). Ethical Frameworks for Cybersecurity. In M. Christen, B. Gordijn, & M. Loi (Eds.), The Ethics of Cybersecurity. Springer International Publishing

Loi, M. (2016). Food Ethics in an Intergenerational Perspective: Vol. The Routledge Guide to Food Ethics (p. n.a.). Routledge & Kegan Paul.

Loi, M., & Nobile, M. (2016). The Moral and Legal Relevance of DOHaD Effects for Pregnant Mothers. In C. S. Rosenfeld (Ed.), The Epigenome and Developmental Origins of Health and Disease (pp. 463–480). Elsevier Science Ltd.

Loi, M. (2011). Singolarità nanotecnologiche e problemi di giustizia distributiva. In Forme di responsabilità, regolazione e nanotecnologie (pp. 551–573). Il Mulino.

BUSINESS reports

Loi, M. (2023). How to define platforms’ systemic risks to democracy. Algorithmwatch.

Hertweck, C., Baumann, J., Loi, M., Viganò, E., & Heitz, C. (2022). A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs (arXiv:2206.02891). arXiv.

Baumann, J., Hertweck, C., Loi, M., & Heitz, C. (2022). Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics (arXiv:2206.02897). arXiv.

Loi, M. (2021). Automated Decision-Making Systems in the Public Sector – An Impact Assessment Tool for Public Authorities. Algorithmwatch.

Loi, M. (2020). People Analytics must benefit the people. An ethical analysis of data-driven algorithmic systems in human resources management. Algorithmwatch.

Loi, M., Viganò, E., & van der Plas, L. (2020, September 11). The societal and ethical relevance of computational creativity.

Loi, M., Christen, M., Heitz, C., & Kleiber, T. (2020). Code of Ethics for Data-Based Value Creation—Basics. Data Innovation Alliance.

Yaghmaei, E., van de Poel, I., Christen, M., Gordijn, B., Kleine, N., Loi, M., Morgan, G., & Weber, K. (2017). Canvas White Paper 1 – Cybersecurity and Ethics (SSRN Scholarly Paper ID 3091909). Social Science Research Network.

World Health Organization (2016), Guidance For Managing Ethical Issues In Infectious Disease Outbreaks.