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AI Risk

Model outputs inconsistent with chain-of-thought reasoning

"Chain-of-thought reasoning is sometimes employed to get a better understanding of the model’s output, where it encourages transparent reasoning in text form. However, in some cases, this reasoning is not consistent with the final answer given by the AI model, and as such does not give sufficient transparency [113]."

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AI Risk7. AI System Safety, Failures, & Limitations7.4 > Lack of transparency or interpretability2 - Post-deployment

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Mitigations0Defenses that may help with related attacks.
Domain7. AI System Safety, Failures, & LimitationsThe broad risk area this belongs to.

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Domain7. AI System Safety, Failures, & Limitations
Subdomain7.4 > Lack of transparency or interpretability
Entity2 - AI
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryModel Evaluations (Interpretability/Explainability)
SubcategoryModel outputs inconsistent with chain-of-thought reasoning

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