Authors: University of Washington and Microsoft Research
We propose training AI systems in a human-centered manner and directly optimizing for team performance. We study this proposal for a specific type of human-AI team, where the human overseer chooses to accept the AI recommendation or solve the task themselves. To optimize the team performance we maximize the team’s expected utility, expressed in terms of quality of the final decision, cost of verifying, and individual accuracies.
https://twitter.com/bansalg_/status/1257413861348651013
https://arxiv.org/abs/2004.13102
