Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence

For many AI systems, it is hard to interpret how they make decisions. Here, the authors show that non-experts value interpretability in AI, especially for decisions involving high stakes and scarce resources, but they sacrifice AI interpretability when it trades off against AI accuracy.

Bibliographic Details
Main Authors: Anne-Marie Nussberger, Lan Luo, L. Elisa Celis, M. J. Crockett
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-33417-3