Human–AI Interactions in Public Sector Decision Making: "Automation Bias" and "Selective Adherence" to Algorithmic Advice

Synopsis

Three experimental studies (605–1,345 participants); participants overrode algorithmic advice when contradicted by evidence but selectively followed advice that matched ethnic stereotypes — recasting reliance as biased adherence, not automation bias.

Keywords

·public sector ·automation bias ·selective adherence ·algorithmic advice ·civil servants

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