EAG 2019 SF: Training ML systems to answer open-ended questions (Andreas Stuhmueller)

Published: Oct. 9, 2019, 9:55 a.m.

In the long run, we want machine learning to help us answer open-ended questions like “Should I get this medical procedure?” or “What are the risks of deploying this AI system?“ Currently, we only know how to train ML systems if we have clear metrics or can easily provide feedback on the outputs. Andreas Stuhmueller, …

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