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# When Trust Becomes a Risk: Can Humans Really Know When to Challenge AI?

**[Medium](https://daily.dev/sources/medium_js)** · 12 min read · 0 upvotes · 0 comments

## Summary

An essay argues that 'keeping a human in the loop' is an insufficient safeguard for AI-assisted decisions unless that human can actually recognise when a credible-looking recommendation deserves scrutiny. It proposes a conceptual framework of Scrutiny Need, Oversight Capability, and Challenge Quality, arguing that risk rises when the scrutiny a decision requires exceeds the oversight capability available at that moment. Drawing on automation trust research (Parasuraman and Riley, Lee and See), it contends that explainability helps but doesn't solve the problem, and that the goal should be calibrated trust rather than maximized trust. The framework is explicitly presented as a proposition needing empirical testing, not an established conclusion.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@vivaluv98/when-trust-becomes-a-risk-can-humans-really-know-when-to-challenge-ai-dd9cb68f59df>

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---

Tags: [#ai-safety](https://daily.dev/tags/ai-safety), [#explainable-ai](https://daily.dev/tags/explainable-ai)

[View this post on daily.dev](https://daily.dev/posts/when-trust-becomes-a-risk-can-humans-really-know-when-to-challenge-ai--io2eohurp)

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