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University Of Toronto research highlights decision-making AI could be made more accurate when judging humans

A new study from researchers at the University of Toronto and the Massachusetts Institute of Technology (MIT) is challenging conventional wisdom on human-computer interaction and reducing bias in AI.The paper, which was published this month in the jo
Tamil Nadu Schwartz Reisman Marzyeh Ghassemi Aparna Balagopalan Gillian Hadfield Davidh Yang

[Webinar] Master the Power of Explainable AI: Unleashing AIML Technology for Optimal Results - June 7th, 1:00 pm - 2:00 pm EDT | Association of Certified E-Discovery Specialists (ACEDS)

Discover the Secrets of Technology Assisted Review (TAR) and Unlock Your Case's Potential! Are you craving in-depth knowledge about AIML technology? Look no further! Join...
United States University School New York Richard Finkelman Mike Quartararo Bill Bailey

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