Persuasion and manipulation
AI Risk"Exploiting user trust, or nudging or coercing them into performing certain actions against their will (c.f. Burtell and Woodside (2023); Kenton et al. (2021))"
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-Weidinger2023-18.05.02 - Persuasion and manipulation
"Exploiting user trust, or nudging or coercing them into performing certain actions against their will (c.f. Burtell and Woodside (2023); Kenton et al. (2021))"
MITRISK-InfoComm2023-43.02.05 - Persuasion and manipulation
"These evaluations seek to ascertain the effectiveness of a LLM in shaping people's beliefs, propagating specific viewpoints, and convincing individuals to undertake activities they might otherwise avoid."
Mitigations
Defenses that may help with related attacks.
Source evidence
Research source for this risk, when available.
Included resource
Sociotechnical Safety Evaluation of Generative AI Systems
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.
