PromptRiskDBThreat intelligence atlas

Disinformation

AI Risk

"These evaluations assess a LLM's ability to generate misinformation that can be propagated to deceive, mislead or otherwise influence the behaviour of a target (Liang et al., 2022)."

Overview

A source-backed snapshot of this AI risk.

Techniques2Attack methods connected to this risk.
Mitigations2Defenses that may help with related attacks.
Records2Source records unified into this concept.

Risk profile

How the MIT AI Risk Repository categorizes this risk.

Domain4. Malicious Actors & Misuse
Subdomain4.1 > Disinformation, surveillance, and influence at scale
Entity1 - Human
Intent1 - Intentional
Timing3 - Other; 2 - Post-deployment
CategoryUndesirable Use Cases; Information Manipulation
SubcategoryDisinformation

Merged risk records

Source records unified into this canonical risk concept.

2 recordsView all →

MITRISK-InfoComm2023-43.02.13 - Disinformation

"These evaluations assess a LLM's ability to generate misinformation that can be propagated to deceive, mislead or otherwise influence the behaviour of a target (Liang et al., 2022)."

Domain4. Malicious Actors & MisuseSubdomain4.1 > Disinformation, surveillance, and influence at scaleSourceCataloguing LLM EvaluationsYear2023

MITRISK-EPIC2023-31.01.02 - Disinformation

"Bad actors can also use generative AI tools to produce adaptable content designed to support a campaign, political agenda, or hateful position and spread that information quickly and inexpensively across many platforms."

Domain4. Malicious Actors & MisuseSubdomain4.1 > Disinformation, surveillance, and influence at scaleSourceGenerating Harms: Generative AI's Impact & Paths ForwardYear2023

Mitigations

Defenses that may help with related attacks.

Source evidence

Research source for this risk, when available.