Automation bias is the human tendency to over-rely on automated system recommendations, even when incorrect, leading to errors of commission or omission. Explored across systematic reviews and domain-specific studies in public sector, national security, healthcare, and aviation, this bias shows mixed prevalence, yet even low levels carry significant risks. Psychological roots like cognitive laziness and trusting technology contribute as well. Modulators include task complexity and user experience Limited AI knowledge often increases overreliance in a nonlinear fashion. Mitigating strategies emphasise promoting skepticism and error awarenessThe Entire Behavioural Science Reading List on Amazon (https://amzn.to/4juLQTM)

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