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AI Risk

Over- or under-reliance

"In AI-assisted decision-making tasks, reliance measures how much a person trusts (and potentially acts on) a model’s output. Over-reliance occurs when a person puts too much trust in a model, accepting a model’s output when the model’s output is likely incorrect. Under-reliance is the opposite, where the person doesn’t trust the model but should."

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AI Risk5. Human-Computer Interaction5.1 > Overreliance and unsafe use2 - Post-deployment

Record summary

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Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain5. Human-Computer InteractionThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain5. Human-Computer Interaction
Subdomain5.1 > Overreliance and unsafe use
Entity1 - Human
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryOutput risks (Value alignment)
SubcategoryOver- or under-reliance

Related techniques

Attack methods connected to this risk.

No linked attack methods. No AI attack method is connected to this risk in the current data.

Suggested mitigations

Defenses that may help with related attacks.

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

Source

Research source for this risk, when available.