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X-WR-CALNAME:Ashoka University
X-ORIGINAL-URL:https://www.ashoka.edu.in
X-WR-CALDESC:Events for Ashoka University
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TZOFFSETFROM:+0530
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20240527T100000
DTEND;TZID=Asia/Kolkata:20240602T200000
DTSTAMP:20240423T003714Z
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UID:57550-1716804000-1717358400@www.ashoka.edu.in
SUMMARY:CWC Online Summer School
DESCRIPTION:
URL:https://www.ashoka.edu.in/event/cwc-online-summer-school/
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20240527T140000
DTEND;TZID=Asia/Kolkata:20240527T160000
DTSTAMP:20240521T231958Z
CREATED:20240521T231835Z
LAST-MODIFIED:20240521T231958Z
UID:58851-1716818400-1716825600@www.ashoka.edu.in
SUMMARY:Philosophy Colloquium: Adrian K. Yee\, The Limits of Machine Learning Models of Misinformation
DESCRIPTION:The Philosophy Department invites everyone to a colloquium talk by Adrian K. Yee\, Research Assistant Professor in the Department of Philosophy and Co-Director of MA in Artificial Intelligence & the Future at Lingnan University. \nThe talk is titled "The Limits of Machine Learning Models of Misinformation." \nAbstract: Judgments of misinformation are made relative to the epistemic preferences of the communities making them and their respective standards for informational quality. However\, both standards and first-order judgments change over time\, inducing distribution shifts that pose considerable challenges regarding the empirical adequacy of extant machine learning models of misinformation. Three solutions for enhancing empirical adequacy are discussed: larger training sets\, social engineering\, and dynamic sampling. I argue that given the idiosyncratic ontology of misinformation\, the first option is inadequate\, the second is unethical\, and thus the third is superior. Despite this solution\, I conclude that the prospects for a rigorous science of misinformation are weak\, and far weaker than most have presupposed\, given that both epistemic and non-epistemic values are difficult to operationalize dynamically in machine code. \nDate: 27 May\nTime: 14:00 to 16:00\nLocation: AC04 LR 409\nGoogle Calendar Event Link \nFor questions please contact danny.weltman@ashoka.edu.in
URL:https://www.ashoka.edu.in/event/philosophy-colloquium-adrian-k-yee-the-limits-of-machine-learning-models-of-misinformation/
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