References

Does the whole exceed its parts? The effect of AI explanations on complementary team performance

Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Tulio Ribeiro, & Daniel S. Weld (2021)

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '21), 1-16.

DOI: https://doi.org/10.1145/3411764.3445717

Abstract. Empirical study finding that AI explanations often fail to produce complementary human-AI team performance — instead they drive over-reliance. A sobering counterweight to the assumption that "explainable AI" automatically yields better human-AI decisions.

Tags: ai-usability trust xai

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