Selected research highlights
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- Hertog, E., et al, The risks and opportunities of adopting digital technologies as part of unpaid care, The Oxford Review of Economic Policy (2026)
- Cofone, I., et al, Consent, Design, and Deceit: A Bottom-up Proposal for Regulating Dark Patterns, University of Toronto Law Journal (2026)
- Green, C., et al, Responsible use of artificial intelligence in the provision of long-term care for older people: a care-centric approach, The Lancet Healthy Longevity (2026)
- Cofone, I., The Privacy Paradox Is a Misnomer: Data Under Structural Uncertainty, 10 Geo. L. Tech. Rev. 1 (2026)
- Nenu, T., Did Turing prove the undecidability of the halting problem? Journal of Logic and Computation (2026)
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- Green, C., The responsible use of Generative AI in adult social care: A value-led approach, White paper (2025)
- Ferreras, I., Ethical and Safe AI Development: Corporate Governance is the Missing Piece, Blog (2025)
- Tasioulas, J.; Cofone, I.; Green, C. The Paris AI Summit: A Missed Opportunity for Global AI Governance, Blog (13–14 February 2025)
- Véliz, C., Self-Esteem and Technological Unemployment: Should We Halt AI to Protect Meaningful Work? Journal of Business Ethics. (2025)
- Mitchell, T., Trust and Transparency in Artificial Intelligence, Philosophy & Technology (2025)
- Cofone, I., The Privacy Fallacy: Harm and Power in the Information Economy, Cambridge University Press (2024/2025)
- Cofone, I., AI, Privacy, and the Politics of Accountability — Part 1: Post-traditionalist Privacy for AI, Blog (February 2025)
- Cofone, I., AI, Privacy, and the Politics of Accountability — Part 2: Privacy Harm in the AI Economy, Blog (February 2025)
- Conitzer, V., et al. Expected Variational Inequalities, Arxiv (2025)
- Curran, E., Longtermism, Aggregation, and Catastrophic Risk, Philosophy & Phenomenological Research (2025)
- Shany, Y., To Use AI or Not to Use AI? Autonomous Weapon Systems and Their Complicated Relationship with the Right to Life, Ljubljana Law Review (2025)
- Shany, Y., How Far Can You Go? Shoehorning Digital Human Rights into Existing Human Rights Treaties, draft; to appear in Vienna Journal of International Constitutional Law (2025)
- Shany, Y., Programmed to Obey: The Limits of Law and the Debate over Meaningful Human Control of Autonomous Weapons, Columbia Human Rights Law Review (forthcoming, May 2025)
- Shany, Y., The Need for and Feasibility of an International AI Bill of Human Rights, White Paper (2025).
- Cofone, I., et al. Taxonomizing Synthetic Data: Law, Ground-Truth Assumptions and Policy Implications, Iowa Law Review (2025)
- Sunstein, C., Imperfect Oracle: What AI Can and Cannot Do, (2025) Named by Forbes as one of “10 Must-Read Tech Books of 2025.”
- Fedorczyk, F., The EU approach to non-consensual sexual deepfakes: criminal law, tech regulation and the risk of fragmentation, EuCLR European Criminal Law Review (2025)
- Fedorczyk, F. The Brussels Sphinx’s Riddle. What Is a High-Risk AI System? co-authored with Andrea Bertolini, Marta Mariolina Mollicone, Guilherme Migliora, published in Rivista di Diritto dei Media, vol. 3/2025.
- Fedorczyk, F. Criminalising Deepfakes Won’t Save Democracy. Lessons from Arendt and Foucault, a chapter co-authored with Filippo Venturi and published open access in Technology and Distrust, the new DigiBook edited by A. Aloisi, F. De Elizalde, and F. Palmiotto (2025).
- Storrs-Fox, D., Inability, Fallibility, and the Positive Case for PAP, Philosophical Studies (2025).
- Storrs-Fox, D., Graded Abilities and Action Fragility, Erkenntnis 90 (2025).
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- Véliz, C., The Ethics of Privacy and Surveillance, Oxford University Press, 2024
- Kraus, K., Mikes, A., & Véliz, C., Bringing morality back in: Accounting as moral interlocutor in reflective equilibrium processes, Science Direct, 2024
- Conitzer, V. et al., Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback, Arxiv, 2024
- Berker, R. E. & Conitzer, V., Computing Optimal Equilibria in Repeated Games with Restarts IJCAI, 2024
- Schaich Borg, J., Sinnott-Armstrong, W., & Conitzer, V., Moral AI, Penguin 2024
- Eggert, L., Rethinking Meaningful Human Control, CRC Press 2024
- Eggert, L., Necessity and Other-Defence. The Journal of Philosophy, 2024
- Eggert, L., Compensating Beneficiaries. Philosophical Studies, 2024
- Green, C. & Manthorpe, J. Long-term care facilities for older people: human rights concerns, in Research Handbook on Law, Society and Ageing, 2024
- Hertog, E. et al., Data-Driven Parenting: Robust Research and Policy Needed to Ensure that Parental Digital Monitoring Promotes a Good Digital Society, The British Academy, 2024
- Shadbolt, N. & Hampson, R., As If Human. Yale University Press London, 2024
- Tasioulas, J., Work and Play in the Shadow of AI. Oxford University Press 2024
- Cofone, I., The Privacy Fallacy, Audiobook, 2024
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- Véliz, C., Chatbots shouldn’t use emojis, Nature, 2023
- Cahn, S. M. & Véliz, C., Privacy, Wiley-Blackwell Readings in Philosophy, 2023
- Eggert, L., Supererogatory Rescues, The Journal of Philosophy, 2023.
- Eggert, L., Dirty Hands Defended, Journal of Moral Philosophy, 2023
- Eggert, L., Autonomised harming, Philosophical Studies, 2023
- Hertog, E. et al., It’s Not Her Fault: Trust through Anthropomorphism among Young Adult Amazon Alexa Users, Sage Journals, 2023
- Tasioulas, J., The Rule of Algorithm and the Rule of Law, In Vienna Lectures on Legal Philosophy, 203
- Unruh, C. F., The Constraint Against Doing Harm and Long-Term Consequences. Journal of Moral Philosophy, 2023
- Unruh, C. F. et al. (2023). Präferenzbasierte Schichtzuteilung in der Logistik, Technical University of Munich, 2023
- Prunkl, C. et al., LUCID: Exposing algorithmic bias through inverse design, Proceedings of AAAI, 2023
- Tasioulas, J. et al., The Uneasy Relationship Between Human Rights and Public Health, In Pandemic Ethics, Oxford University Press, 2023
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- Millican, P., The Routledge Handbook of Modality. Routledge, 2021
- Oesterheld, C. & Conitzer, V. (2021). Extracting Money from Causal Decision Theorists, The Philosophical Quarterly, 2021
- Phillips-Brown, M. (2021). What Does Decision Theory Have to Do with Wanting? Mind, 2021
- Prunkl, C. E. A., Ashurst, C., Anderljung, M., Webb, H., Leike, J., & Dafoe, A. (2021). Institutionalising ethics in AI through broader impact requirements, Nature Machine Intelligence, 2021
- Véliz, C., Prunkl, C., Phillips-Brown, M., & Lechterman, T. (2021). We might be afraid of black-box algorithms, Journal of Medical Ethics, 2021
- Lechterman, T., The Potestas of Practice, History of Political Thought, 2021
