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.
Risk profile
How the MIT AI Risk Repository categorizes this risk.
Merged risk records
Source records unified into this canonical risk concept.
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)."
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."
Mitigations
Defenses that may help with related attacks.
Source evidence
Research source for this risk, when available.
Included resource
Cataloguing LLM Evaluations
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.
