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DTSTAMP:20250206T121530
DTSTART;TZID=America/Detroit:20250318T133000
DTEND;TZID=America/Detroit:20250318T143000
SUMMARY:Livestream / Virtual:PACE Fellowship Information Session
DESCRIPTION:\nSponsored by the Rackham Partnerships for Access\, Community\, and Excellence (PACE) team\, the PACE Fellowship recognizes accomplished doctoral students and faculty mentors who have demonstrated commitment to program climate and student success. Join this workshop to learn more about the PACE Fellowship and how to navigate the application process.\nRegistration is required at https://myumi.ch/JwnJq.\n\nWe want to ensure full and equitable participation in our events. If an accommodation would promote your full participation in this event\, please follow the registration link to indicate your accommodation requirements. Please let us know as soon as possible in order to have adequate time\, preferably one week\, to arrange for your requested accommodations or an effective alternative.
UID:132441-21870949@events.umich.edu
URL:https://events.umich.edu/event/132441
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250311T102251
DTSTART;TZID=America/Detroit:20250318T140000
DTEND;TZID=America/Detroit:20250318T160000
SUMMARY:Lecture / Discussion:KIS Lecture: Gabbrielle Johnson
DESCRIPTION:Location: 2271 Angell Hall\nTitle: Precarious Accurate Predictions in Automated Decision-Making\n\nAbstract: \nWith the rising temptation to rely on automated decision-making\, mere predictive accuracy increasingly becomes the standard. In this talk\, I argue that the allure of so-called “precarious accurate predictions”— those where predictive accuracy masks the problematic nature of the underlying reasoning patterns—poses significant ethical and procedural risks. Drawing on insights from philosophy of mind and psychology\, I highlight two ways in which these predictions falter under scrutiny: through their reliance on stealth proxies and their susceptibility to illusions of depth. These in turn establish two unmet desiderata for the effective integration of predictive analytics in automated decision-making: that predictive models address proxy discrimination beyond statistical correlations and distinguish between superficial and deep causal-explanatory connections among features. The talk ends by underscoring the urgent need for a critical reevaluation of the prospective use of automated predictions in legal processes\, cautioning against their expansion into domains like criminal justice\, where they threaten to erode established rights and safeguards.
UID:130477-21866092@events.umich.edu
URL:https://events.umich.edu/event/130477
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Philosophy
LOCATION:Mason Hall - 2306
CONTACT:
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