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: Title: Designing AI for Hybrid Decision-Making or... Why Assessing Appropriate Reliance Matters\n\nJoin the meeting<https ://teams.microsoft.com/l/meetup-join/19%3ameeting_Y2FkODMxZjEtOTQyOC00Y2Rj LTg2ODYtMTYxYTFlMjM5NDU3%40thread.v2/0?context=%7b%22Tid%22%3a%225d471751- 9675-428d-917b-70f44f9630b0%22%2c%22Oid%22%3a%221e405340-2229-4554-b37f-b1 93c118d70e%22%7d>\n\n\nAbstract: To optimize human-AI collaboration\, part icularly in high-stakes fields like medicine\, it is crucial to assess "ap propriate reliance"—a user's ability to trust AI when it is right and di strust it when it is wrong. Traditional AI performance metrics like accura cy are insufficient\, as real-world results are often inconsistent due to cognitive biases such as automation bias (over-relying on incorrect AI) an d self-anchoring bias (distrusting correct AI). To address this\, the talk introduces a framework and an online tool\, Metimeter\, which analyzes us er "reliance patterns" to quantify appropriate reliance. This assessment h elps generate a "protocol diagram\," a nomogram that identifies the most e ffective human-AI interaction protocol (e.g.\, Traditional\, Displacement\ , Inhibition) for a specific team and context. The core finding is that no single protocol is universally superior\; the optimal choice is context-d ependent. By periodically evaluating a team's appropriate reliance\, AI sy stems can be configured to achieve the best and safest outcomes in situate d decision-making settings\n\n<https://arxiv.org/abs/2407.02191>Bio: Fede rico Cabitza is an Associate Professor at the University of Milano-Bicocca \, where he teaches Human-Computer Interaction and Decision Support System s in several master’s programs. He leads the MUDI Laboratory and serves as director of the local node of the national “Informatics and Society ” laboratory within the CINI consortium. Since 2016\, he has collaborate d with various hospitals\, including the IRCCS Galeazzi Sant’Ambrogio Ho spital in Milan\, with which he holds a formal affiliation. He is also a c o-founder and scientific director of the university spin-off Red Open srl\ , dedicated to AI impact assessment. He has authored more than 250 scienti fic publications and has been ranked for several years among the world’s top 2% of scientists\, according to the Stanford University database. He is also co-author\, with Luciano Floridi\, of Intelligenza Artificiale. L ’uso delle nuove macchine (Bompiani\, 2021).\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 UID:040000008200E00074C5B7101A82E0080000000084935C314F26DC01000000000000000 0100000006B21DF6DBFDC82439FD42EED01EFD0DA SUMMARY;LANGUAGE=en-US:[Responsible AI] Designing AI for Hybrid Decision-Ma king or... | Federico Cabitza\, Bicocca DTSTART;TZID=GMT Standard Time:20250922T153000 DTEND;TZID=GMT Standard Time:20250922T163000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20250915T144601Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:2123987076 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
