BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 15.1//EN BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:20251102T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYHOUR=2;BYMINUTE=0;BYMONTH=11 TZNAME:Eastern Standard Time TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:20250301T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYHOUR=2;BYMINUTE=0;BYMONTH=3 TZNAME:Eastern Daylight Time TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:As Artificial Intelligence (AI) becomes increasingly important in our everyday lives\, governance mechanisms for AI are receiving increas ing attention. At the same time\, AI presents significant challenges for o ur governance efforts\, because of both its (sometime) unpredictability\, and our relative lack of understanding about how the systems are successfu l. AI governance is difficult in large part because we often do not know w hat an AI will do or why it will behave in a certain way.In this talk\, Da vid Danks will present two different efforts to develop appropriate govern ance mechanisms for AI systems. First\, Professor Danks will discuss effor ts to develop a novel \;framework for dynamic governance\, including f ormal tools to translate legal\, societal\, ethical\, and psychological co nstraints into constraints on AI performance. Second\, he will examine gov ernance mechanisms for situations that have significant information asymme tries between users/consumers and AI developers/deployers. The goal of the se (and other) efforts is to enable better governance of AI systems despit e persistent limits on our knowledge.David Danks is professor of data scie nce\, philosophy and policy at the University of California\, San Diego. H e serves on the National AI Advisory Committee and the Computer Science an d Telecommunications Board of the National Academies.His research lies at the intersection of philosophy\, cognitive science\, and machine learning\ , focusing on the ethical and \;societal impacts of AI and developing novel causal discovery algorithms. Professor Danks is the recipient of a J ames S. McDonnell Foundation Scholar Award (2008) and an Andrew Carnegie F ellowship (2017). \;This lecture is one of a two-part series. \;Da nks will give a \;second talk\, on Friday\, April 25\, at 3 p.m.\, on AI and moral responsibility \;at the University of Rochester. \;T ravel funding available.Sponsored by the Central New York Humanities Corri dor from an award by the Mellon Foundation. DTEND:20250424T200000Z DTSTAMP:20260513T115444Z DTSTART:20250424T183000Z LOCATION: SEQUENCE:0 SUMMARY:Governing the Unforesseable UID:RFCALITEM639142556846180842 X-ALT-DESC;FMTTYPE=text/html:

As Artificial Intelligence (AI) becomes inc reasingly important in our everyday lives\, governance mechanisms for AI a re receiving increasing attention. At the same time\, AI presents signific ant challenges for our governance efforts\, because of both its (sometime) unpredictability\, and our relative lack of understanding about how the s ystems are successful. AI governance is difficult in large part because we often do not know what an AI will do or why it will behave in a certain w ay.

In this talk\, David Danks will present two different efforts to develop appropriate governance mechanisms for AI systems. First\, Profess or Danks will discuss efforts to develop a novel \;framework for dynam ic governance\, including formal tools to translate legal\, societal\, eth ical\, and psychological constraints into constraints on AI performance. < /p>

Second\, he will examine governance mechanisms for situations that h ave significant information asymmetries between users/consumers and AI dev elopers/deployers. The goal of these (and other) efforts is to enable bett er governance of AI systems despite persistent limits on our knowledge.

David Danks is professor of data science\, philosophy and policy at the University of California\, San Diego. He serves on the National AI Advisory Committee and the Computer Science and Telecommunicat ions Board of the National Academies.

His research lies at the inter section of philosophy\, cognitive science\, and machine learning\, focusin g on the ethical and \;societal impacts of AI and developing novel cau sal discovery algorithms. Professor Danks is the recipient of a James S. M cDonnell Foundation Scholar Award (2008) and an Andrew Carnegie Fellowship (2017). \;

This lecture is one of a two-part series. \;Danks will give a \;second talk\, on Friday\, April 25\, at 3 p.m.\, on AI and moral responsibility \;at the Universit y of Rochester. \;Travel funding available .

Sponsored by the Central New York Humanities Corridor from an awar d by the Mellon Foundation.

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