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SUMMARY:ASSET Seminar: "Testing AI's Implicit World Models"
DESCRIPTION:Many of the robustness properties that are required for real-world applications of AI would be realized by a model that has understood the world. But it is unclear how to measure understanding\, let alone how to define it. This talk will propose theoretically-grounded definitions and metrics that test for a model’s implicit understanding\, or its world model. We will focus on two kinds of settings: one where implicit world models are tested behaviorally\, and another that tests a model’s representation. These exercises demonstrate that models can make highly accurate predictions with incoherent world models\, revealing their fragility. \n  \nZoom: https://upenn.zoom.us/j/95189835192 \nPasscode: 797599
URL:https://seasevents.nmsdev7.com/event/asset-seminar-title-tbd-10/
LOCATION:Amy Gutmann Hall\, Room 414\, 3333 Chestnut Street\, Philadelphia\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="AI-enabled Systems%3A Safe%2C Explainable%2C and Trustworthy (ASSET) Center":MAILTO:asset-info@seas.upenn.edu
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