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AI Risk

Factually incorrect content (inaccuracies and fabricated sources)

"One of the most vexing problems associated with AI models is that they occasionally present false information as if it is factual—often with authoritative-sounding text and fabricated quotes and sources. This unpredictable phenomenon of generating false information is well known to AI researchers, who have termed such erroneous output with the euphemistic label “hallucination.” "

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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
CategoryTechnical and operational risks
SubcategoryFactually incorrect content (inaccuracies and fabricated sources)

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.