Nature Communications (Oct 2022)

Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence

  • Anne-Marie Nussberger,
  • Lan Luo,
  • L. Elisa Celis,
  • M. J. Crockett

DOI
https://doi.org/10.1038/s41467-022-33417-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 13

Abstract

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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.