BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MediaWell - ECPv6.6.4.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://mediawell.ssrc.org
X-WR-CALDESC:Events for MediaWell
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211102T120000
DTEND;TZID=America/New_York:20211102T130000
DTSTAMP:20261025T003931
CREATED:20211101T150747Z
LAST-MODIFIED:20211101T151431Z
UID:69793-1635854400-1635858000@mediawell.ssrc.org
SUMMARY:Accounting for AI — a Comparison of Methods | Berkman Klein Center
DESCRIPTION:A few years ago\, Finale Doshi-Velez and Mason Kortz – and a squad of collaborators – unpacked explanation as one way to hold AI systems accountable. Many frameworks for AI regulation and best practices have since emerged. \nIn this conversation\, Finale and Mason return to the question of accountability and regulation for AI: What are the options for regulating AI systems in real-world settings? What are the advantages of ex-ante and ex-post monitoring? What roles should different methods of accountability play? How do we strategically use each one? \nThey will reflect on how their views have evolved and consider some ways forward. \n[…]
URL:https://mediawell.ssrc.org/event/accounting-for-ai-a-comparison-of-methods-berkman-klein-center/
CATEGORIES:Talk
END:VEVENT
END:VCALENDAR