PromptRiskDBThreat intelligence atlas

Propagating misconceptions / false beliefs

AI Risk

"Generating or spreading false, low-quality, misleading, or inaccurate information that causes people to develop false or inaccurate perceptions and beliefs"

Overview

A source-backed snapshot of this AI risk.

Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Records2Source records unified into this concept.

Risk profile

How the MIT AI Risk Repository categorizes this risk.

Domain3. Misinformation
Subdomain3.1 > False or misleading information
Entity2 - AI
Intent3 - Other
Timing2 - Post-deployment
CategoryMisinformation Harms
SubcategoryPropagating misconceptions / false beliefs

Merged risk records

Source records unified into this canonical risk concept.

2 recordsView all →

MITRISK-Weidinger2023-18.02.01 - Propagating misconceptions/ false beliefs

"Generating or spreading false, low-quality, misleading, or inaccurate information that causes people to develop false or inaccurate perceptions and beliefs"

Domain3. MisinformationSubdomain3.1 > False or misleading informationSourceSociotechnical Safety Evaluation of Generative AI SystemsYear2023

MITRISK-Li2025-66.03.01 - Propagating misconceptions / false beliefs

"Generating or spreading false, low-quality, misleading, or inaccurate information that causes people to develop false or inaccurate perceptions and beliefs"

Domain3. MisinformationSubdomain3.1 > False or misleading informationSourceA Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World IncidentsYear2025

Mitigations

Defenses that may help with related attacks.

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

Source evidence

Research source for this risk, when available.