1.6k citations · 2k across the 30 of their papers we have counts for
4 papers · 1 filter
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
Besmira Nushi, Ece Kamar, Eric Horvitz
As machine learning systems move from computer-science laboratories into the open world, their accountability becomes a high priority problem. Accountability requires deep understa…
Investigating Human + Machine Complementarity for Recidivism Predictions
Sarah Tan, Julius Adebayo, Kori Inkpen +1
When might human input help (or not) when assessing risk in fairness domains? Dressel and Farid (2018) asked Mechanical Turk workers to evaluate a subset of defendants in the ProPu…
Studying Preferences and Concerns about Information Disclosure in Email Notifications
Yongsung Kim, Adam Fourney, Ece Kamar
The proliferation of network-connected devices and applications has resulted in people receiving dozens, or hundreds, of notifications per day. When people are in the presence of o…
Discovering Blind Spots in Reinforcement Learning
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey +2
Agents trained in simulation may make errors in the real world due to mismatches between training and execution environments. These mistakes can be dangerous and difficult to disco…