BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:GMT Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=-1SU;BYMONTH=10 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T010000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=-1SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN=Daniele Quercia:mailto:[email protected] ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=smartdater [email protected]:mailto:[email protected] ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=members@sm artdata.polito.it:mailto:[email protected] ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=MINDS:mail to:[email protected] ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=HCI:mailto :[email protected] ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=nexa@serve r-nexa.polito.it:mailto:[email protected] DESCRIPTION;LANGUAGE=en-US:Three Models of AI Regulation
\nIgnacio Cofone \, University of Oxford\n\n\nOnline Meeting on MS Teams<https://teams.micr osoft.com/meet/389551308543117?p=dKSPSwX9fBDUSWhfjX>\n\nFormat: 35 min tal k + 25 min Q&A\n\n\nAI 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 gro up-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 right s model\, exemplified by the GDPR\, gives data subjects rights to access\, explanation\, and objection. The risk-tiered model\, exemplified by the E U AI Act\, classifies systems before deployment by projected risk. The pub lic infrastructure model\, exemplified by algorithmic registries and manda tory audits\, treats AI as a governed utility. Each rests on a different t heory 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 syste mic injury\, escapes every framework. So does the inference lifecycle\, wh ich each model leaves ungoverned because all three regulate the data trail and leave the production of inferences unaffected.\n\nIgnacio Cofone is P rofessor 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 ex isting legalcategories\, across privacy\, data protection\, and algorithmi c accountability. He is the author of The Privacy Fallacy (Cambridge Unive rsity Press\, 2023) and has advised governments in Canada\, the United Sta tes\, and Europe on AI and privacy regulation.\n\nSubscribe 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 [email protected]\n\n\n\n UID:040000008200E00074C5B7101A82E0080000000010FEEA306415DD01000000000000000 0100000001B3EFCD03179824A947503E40D049F8A SUMMARY;LANGUAGE=en-US:[Responsible AI] Three Models of AI Regulation\, Ign acio Cofone\, University of Oxford DTSTART;TZID=GMT Standard Time:20260720T153000 DTEND;TZID=GMT Standard Time:20260720T163000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20260716T204824Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:2124906500 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-DONOTFORWARDMEETING:FALSE X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MICROSOFT-REQUESTEDATTENDANCEMODE:DEFAULT X-MICROSOFT-ISRESPONSEREQUESTED:TRUE BEGIN:VALARM DESCRIPTION:REMINDER TRIGGER;RELATED=START:-PT15M ACTION:DISPLAY END:VALARM END:VEVENT END:VCALENDAR
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