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:daniele.quercia@polito.it ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=smartdater s@smartdata.polito.it:mailto:smartdaters@smartdata.polito.it ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=members@sm artdata.polito.it:mailto:members@smartdata.polito.it ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=MINDS:mail to:minds@polito.it ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=HCI:mailto :hci@polito.it ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=nexa@serve r-nexa.polito.it:mailto:nexa@server-nexa.polito.it DESCRIPTION;LANGUAGE=en-US:Algorithmic Insurance\n\nAgni Orfanoudaki\, Saï d Business School\, Oxford University\n\n\nJoin MS Teams\nFormat: 35 min talk + 25 min Q&A\n\n\nAbstract: Measuring and managing the risks associated wi th artificial intelligence (AI) is increasingly critical as AI systems are integrated into high-stakes decision-making environments\, such as health care. Algorithmic insurance offers a scalable financial solution for quant ifying\, pricing\, and managing the risks inherent in AI deployment\, comp lementary to regulation. It provides a structured mechanism for transferri ng the risks associated with AI systems from developers and users to insur ers\, creating a financial buffer that incentivizes responsible AI use and mitigates liability. Our work formalizes the concept of algorithmic insur ance and proposes quantitative frameworks to estimate the risk exposure of insurance contracts for machine-driven financial risk.\n\nBio: Agni Orfan oudaki is an Associate Professor of Operations Management at the Saïd Bus iness School of Oxford University. Alongside her role\, Agni is a Manageme nt Studies Fellow at Exeter College and a visiting scholar at the Harvard Kennedy School as a Harvard Data Science Initiative Fellow. She leads the Data-Driven Decisions Lab (3DL) at Oxford\, conducting theoretical and emp irical research with machine learning\, optimization\, and stochastic proc esses with applications to healthcare and insurance. Prior to joining Oxfo rd\, Agni received a PhD in Operations Research from the Massachusetts Ins titute of Technology. She has collaborated with numerous institutions\, in cluding a major medical society\, two international reinsurance companies\ , and more than eight hospitals in the US and Europe.\n\nReferences:\nBert simas\, D. and Orfanoudaki\, A.\, 2023. Pricing algorithmic insurance. arX iv preprint arXiv:2106.00839. https://arxiv.org/pdf/2106.00839.pdf\n\nSing h S\, Sarna N\, Li Y\, Li Y\, Orfanoudaki A\, Berger M. Distribution-free risk assessment of regression-based machine learning algorithms. arXiv pre print arXiv:2310.03545. https://arxiv.org/pdf/2310.03545\n\nSubscribe to f uture talk announcements: Anyone outside Bell Labs can receive talk announ cements by subscribing to the mailing list. To subscribe\, send an empty e mail with the subject line "Subscribe RAI” to daniele.quercia@polito.it\ n\n\n\n\n\n\n UID:040000008200E00074C5B7101A82E0080000000069A1A23F0BBDDC01000000000000000 01000000049813CDCE09DDB43A69C2962EC0C9849 SUMMARY;LANGUAGE=en-US:[Responsible AI] Algorithmic Insurance\, Agni Orfano udaki\, Saïd Business School\, Oxford University DTSTART;TZID=GMT Standard Time:20260330T153000 DTEND;TZID=GMT Standard Time:20260330T163000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20260326T102918Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:2124666473 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