BackImpersonation / identity theft
Impersonation / identity theft
Risk Domain
Using AI systems to gain a personal advantage over others such as through cheating, fraud, scams, blackmail or targeted manipulation of beliefs or behavior. Examples include AI-facilitated plagiarism for research or education, impersonating a trusted or fake individual for illegitimate financial benefit, or creating humiliating or sexual imagery.
"Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them or another party"
Entity: Who or what caused the harm
Intent: Whether the harm was intentional or accidental
Timing: Whether the risk is pre- or post-deployment
Part of Autonomy
Other risks from Li et al. (2025) (40)
Autonomy
5.2 Loss of human agency and autonomyOtherOtherOther
Misinformation Harms
3.1 False or misleading informationAI systemOtherPost-deployment
Representation and Toxicity
1.0 Discrimination & ToxicityAI systemUnintentionalPost-deployment
IP / copyright / personality / rights loss
4.3 Fraud, scams, and targeted manipulationHumanIntentionalPost-deployment
Autonomy / agency loss
5.2 Loss of human agency and autonomyOtherOtherOther
Political instability
6.0 Socioeconomic & EnvironmentalHumanOtherOther