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AI Risk

Misleading Information

Large models are usually susceptible to hallucination problems, sometimes yielding nonsensical or unfaithful data that results in misleading outputs.

AI Risk3. Misinformation3.1 > False or misleading information2 - Post-deployment

Record summary

A quick snapshot of what this page covers.

Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain3. MisinformationThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain3. Misinformation
Subdomain3.1 > False or misleading information
Entity2 - AI
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryMisleading Information
Subcategoryn/a

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.