Original paper
Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err
Abstract
Research shows that evidence-based algorithms more accurately predict the future than do human forecasters. Yet, when forecasters are deciding whether to use a human forecaster or a statistical algorithm, they often choose the human forecaster. This phenomenon, which we call algorithm aversion, is costly, and it is important to understand its causes. We show that people are especially averse to algorithmic forecasters after seeing them perform,...
Paper Details
Title
Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err
Published Date
Jan 1, 2014
Journal
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Notes
History