Three Models of AI Regulation Ignacio Cofone, University of Oxford Online Meeting on MS Teams<https://teams.microsoft.com/meet/389551308543117?p=dKSPSwX9fBDUSWhfjX> Format: 35 min talk + 25 min Q&A AI systems allocate credit, price insurance, screen job applicants, triage patients, and inform bail decisions by generating probabilistic inferences at population scale. The resulting harms are group-based, non-material, and produced by long chains of actors, so they slip past legal categories built for individual and tangible injury. Three regulatory traditions have crystallised in response. The individual rights model, exemplified by the GDPR, gives data subjects rights to access, explanation, and objection. The risk-tiered model, exemplified by the EU AI Act, classifies systems before deployment by projected risk. The public infrastructure model, exemplified by algorithmic registries and mandatory audits, treats AI as a governed utility. Each rests on a different theory of the relationship between AI systems and the people they affect, and each carries a blind spot that survives any amount of enforcement. Two of those blind spots reproduce across all three models. Cumulative harm, where thousands of individually unactionable outputs aggregate into systemic injury, escapes every framework. So does the inference lifecycle, which each model leaves ungoverned because all three regulate the data trail and leave the production of inferences unaffected. Ignacio Cofone is Professor of Law and Regulation of AI at the University of Oxford, jointly appointed between the Faculty of Law and the Institute for Ethics in AI. His research examines how AI produces inference-based harms that escape existing legalcategories, across privacy, data protection, and algorithmic accountability. He is the author of The Privacy Fallacy (Cambridge University Press, 2023) and has advised governments in Canada, the United States, and Europe on AI and privacy regulation. Subscribe to future talk announcements: Anyone outside Bell Labs can receive talk announcements by subscribing to the mailing list. To subscribe, send an empty email with the subject line "Subscribe RAI" to daniele.quercia@polito.it