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AI Risk

Lack of transparency, explainability, and trust

"Understanding how AI reaches conclusions or why AI systems perform specific actions motivates an entire branch of interpretability research [111], but physical embodiment raises the stakes for understanding these systems. For example, transparency of planned actions and explainability of decision-making is crucial when an AV suddenly changes lanes. A lack of transparency and explainability could lead to a lack of...

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AI Risk7. AI System Safety, Failures, & Limitations7.4 > Lack of transparency or interpretability3 - Other

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Techniques1Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain7. AI System Safety, Failures, & LimitationsThe broad risk area this belongs to.

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"Understanding how AI reaches conclusions or why AI systems perform specific actions motivates an entire branch of interpretability research [111], but physical embodiment raises the stakes for understanding these systems. For example, transparency of planned actions and explainability of decision-making is crucial when an AV suddenly changes lanes. A lack of transparency and explainability could lead to a lack of trust, which could become a critical and socially destabilizing issue with the widespread deployment of EAI [112–114]."

Domain7. AI System Safety, Failures, & Limitations
Subdomain7.4 > Lack of transparency or interpretability
Entity3 - Other
Intent2 - Unintentional
Timing3 - Other
CategorySocial Risks
SubcategoryLack of transparency, explainability, and trust

Related techniques

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No propagated mitigations. No defense is available through the connected attack methods.

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