Michele Loi is a philosopher and AI governance specialist based in Milan. He works at the intersection of ethical theory and operational practice — helping organizations design systems where humans remain accountable for what AI produces. He is Adjunct Professor at the University of Milan, where he teaches the ethics component of “AI, Ethics and Law.” Until February 2026, he served as Senior Scientific Advisor at AlgorithmWatch, where he led research on algorithmic auditing, risk assessment, and accountability frameworks in the context of the EU AI Act and the Digital Services Act. His work there included the AlgorithmWatch Impact Assessment Tool (v4), contributions to FRIA guidance under the EU AI Act, and research on political bias in large language models. Before this, he held a Marie Skłodowska-Curie Individual Fellowship at Politecnico di Milano (rated 100/100 by the European Commission), where he developed fairness assessment methodologies. At the University of Zurich, he spent six years as Senior Researcher and Principal Investigator, leading projects on algorithmic fairness that brought together computer scientists and philosophers — an unusual combination that produced both published tools and peer-reviewed theory. He also coordinated the Digital Society Initiative’s ethics review infrastructure and co-edited The Ethics of Cybersecurity (Springer, 2020). Earlier in his career, he consulted for the World Health Organization on managing ethical issues in infectious disease outbreaks, and held postdoctoral positions at ETH Zurich, the University of Minho, and San Raffaele, working on biomedical information ethics, genetics and justice, and public health ethics. He holds a Ph.D. in Political Theory from LUISS Guido Carli University (Rome) and a Laurea in Philosophy (summa cum laude) from the University of Cagliari. He holds the Italian national habilitation for Associate Professor in Moral Philosophy. His advisory work has included contributions to the OECD, the UK Centre for Data Ethics and Innovation, the European Commission Joint Research Centre, and the European Medicines Agency. He co-founded and chaired the European Workshop on Algorithmic Fairness (EWAF ’22, ’23) and served on the board of the European Association for Algorithmic Fairness. He has published extensively — over 2,500 citations, h-index 26 — with a Best Student Paper award at ACM FAccT 2021 (as co-author and supervisor). His academic profile is on PhilPeople and Google Scholar. As an independent consultant, he now designs governance frameworks for professional AI use: structured methods, decision rules, and human oversight processes that make accountability demonstrable — not just claimed.