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DTSTART:20240310T070000
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DTSTART:20231105T060000
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DTSTART;TZID=America/Toronto:20240327T103000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/computer-science/events/seminar-artificial-intelli
 gence-mathematical-foundations-for-trustworthy-machine-learning
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West DC 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:Seminar • Artificial Intelligence • Mathematical Foundations fo
 r\nTrustworthy Machine Learning
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS SEMINAR WILL TAKE PLACE IN DC 1304.\n\nLUNJIA
  HU\, PHD CANDIDATE\n_Computer Science Department\, Stanford University_\n
 \nMachine learning holds significant potential for positive societal\nimpa
 ct. However\, in critical applications involving people such as\nhealthcar
 e\, employment\, and lending\, machine learning raises serious\nconcerns o
 f fairness\, robustness\, and interpretability. Addressing\nthese concerns
  is crucial for making machine learning more\ntrustworthy.
DTSTAMP:20260413T115322Z
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