430 citations · 898 across the 25 of their papers we have counts for
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cs.LG2020★ 430 cited
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander D'Amour, Katherine Heller, Dan Moldovan +37
ML models often exhibit unexpectedly poor behavior when they are deployed in real-world domains. We identify underspecification as a key reason for these failures. An ML pipeline i…
cs.HC2020★ 41 cited
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making
Harini Suresh, Natalie Lao, Ilaria Liccardi
ML decision-aid systems are increasingly common on the web, but their successful integration relies on people trusting them appropriately: they should use the system to fill in gap…