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:Format: 35 min talk + 25 min Q&A\n\n\nThe System ic Risks of Mismatched Uncertainty: Why Professional AI Needs More Than Be tter Calibration\n\n\n\nJoin the meeting<https://teams.microsoft.com/l/mee tup-join/19%3ameeting_NzY3NmJlZjYtZjdiOS00OGU1LTlhYmYtODg0N2Q3YzM5OWZh%40t hread.v2/0?context=%7b%22Tid%22%3a%225d471751-9675-428d-917b-70f44f9630b0% 22%2c%22Oid%22%3a%221e405340-2229-4554-b37f-b193c118d70e%22%7d>\n\n\nAI sy stems deployed in healthcare\, education\, and law face a critical challen ge: many forms of professional uncertainty resist the probabilistic quanti fication that current systems privilege. A physician pondering whether to document suspected domestic abuse faces uncertainties about appropriate in quiry\, patient safety risks\, and trauma-informed care that cannot meanin gfully be reduced to confidence scores. When diagnostic systems express hi gh algorithmic confidence while failing to communicate these contextual un certainties\, the resulting mismatch between expressed and actual uncertai nty creates cascading systemic risks. This talk examines why technical imp rovements in uncertainty quantification (while valuable) cannot address th e fundamental epistemological mismatch between algorithmic confidence and professional judgment.\n\n\nDrawing on my recent analysis of healthcare an d judicial contexts\, I show how this mismatch risks eroding professionals ' capacity to refine the tacit\, experience-based judgment that distinguis hes expert from novice performance: precisely the forms of situated knowin g that depend on engaging with uncertainty rather than resolving it premat urely. The solution requires shifting from designer-centric to genuinely p articipatory approaches: building technical architectures that enable prof essional communities to iteratively refine how systems communicate uncerta inty\, treating uncertainty expression itself as evolving professional kno wledge rather than a fixed algorithmic problem.\n\n\n\nFurther reading:\n\ n1. Delacroix\, S.\, Robinson\, D.\, Bhatt\, U.\, Domenicucci\, J.\, Montgomery\, J.\, Varoquaux\, G.\, Ek\, C.H.\, Fortuin\, V.\, He\, Y .\, Diethe\, T. and Campbell\, N.\, 2025. ‘Beyond Quantification: Navig ating Uncertainty in Professional AI Systems’\, RSS: Data Science and Ar tificial Intelligence\, 1(1)\, p.udaf002.\n\n2. Delacroix\, S.\ , 2025. 'Designing with uncertainty: LLM interfaces as transitional space s for democratic revival'. Minds and Machines\, 35(4)\, p.41.\n\n3. Delacroix\, S.\, 2025. ‘Moral Perception and Uncertainty Expressio n in LLM-Augmented Judicial Practice’\, Minds and Machines\, 35 (44)\n\n 4. Fraile Navarro\, D.\, Lewis\, M.\, Blease\, C.\, Shah\, R.\, Riggare\, S.\, Delacroix\, S.\, Lehman\, R.\, 2025. 'GenAI and the changi ng dynamics of clinical consultations'\, British Medical Journal\, 391:e08 5325\n\n\n\nSylvie Delacroix’s work focuses on data & machine ethics. Sh e is the Inaugural Jeff Price Chair in Digital Law at King's College Londo n\; and also the founding Director of the Centre for Data Futures and a vi siting professor at the Centre for Language AI research at Tohoku Universi ty (Japan). Her work has always been animated by a commitment to bridge th e gap between theory and practice. This has led to launch or be involved i n a variety of ethics and public policy initiatives. She is currently work ing on agency-enhancing uncertainty communication features for LLMs deploy ed in morally loaded contexts. She is also considering the social sustaina bility of the data ecosystem that makes generative AI possible.\n\n\n\n\nS ubscribe to future talk announcements: Anyone outside Bell Labs can receiv e talk announcements by subscribing to the mailing list. To subscribe\, se nd an empty email with the subject line "Subscribe RAI” to daniele.querc [email protected]\n\n\n\n\n\n UID:040000008200E00074C5B7101A82E0080000000042A239FBF268DC01000000000000000 0100000005182EEB1A8F9D840B97E9CED39A2F989 SUMMARY;LANGUAGE=en-US:[Responsible AI] The Systemic Risks of Mismatched Un certainty\, Sylvie Delacroix\, King's College DTSTART;TZID=GMT Standard Time:20251215T153000 DTEND;TZID=GMT Standard Time:20251215T163000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20251209T100417Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:2124173122 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
