Learning to Advise Humans in High-Stakes Settings

no code implementations • 23 Oct 2022 • Nicholas Wolczynski, Maytal Saar-Tsechansky, Tong Wang

The human's reconciliation costs and imperfect discretion behavior introduce the need to develop AI systems which (1) provide recommendations selectively, (2) leverage the human partner's ADB to maximize the team's decision accuracy while regularizing for reconciliation costs, and (3) are inherently interpretable.

Decision Making Vocal Bursts Intensity Prediction