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og:description: Automation bias is the human tendency to over-rely on machine-generated decisions, even when incorrect. This cognitive bias affects developers using AI tools...
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# Toxic Trust: The Psychology of Automation Bias in Generative AI - Matthijs van der Veer

**[NDC Conferences](https://daily.dev/sources/ndc)** · 57 min read · 0 upvotes · 0 comments

## Summary

Automation bias is the human tendency to over-rely on machine-generated decisions, even when incorrect. This cognitive bias affects developers using AI tools like ChatGPT and GitHub Copilot, leading to errors of commission (accepting wrong information) and omission (missing critical details). Real-world examples include GPS navigation failures, medical overdoses, and AI-generated content mistakes. Research shows that keeping humans in the loop, increasing system accuracy, or basic training don't solve the problem. Effective solutions include displaying clear accuracy metrics, implementing peer review with known colleagues, providing information rather than recommendations, reducing time pressure, and fostering psychological safety in teams.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=4vX2NJgKc14>

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Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#github](https://daily.dev/tags/github), [#chatgpt](https://daily.dev/tags/chatgpt)

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