privacy risk
Likelihood × impact of privacy harms.
Definition
The product of the likelihood and severity of harms to privacy arising from AI processing, including identification, re-identification, sensitive-attribute inference, unintended data leakage, reputational or dignity harms (e.g., deepfakes). The Model uses this construct to guide assessment, prioritization, and mitigation across the AI lifecycle.
Related Terms
Risk profile
Categorization of foreseeable harms by likelihood and severity....
Data risk
Risks from data quality, provenance, representativeness, and privacy....
Risk assessment
Procedure to identify and mitigate social, ethical and legal risks....
user harm
Harms to users including privacy invasion, defamation, discrimination, illegal facilitation....
Risk classification (of AI applications)
Assessment of AI applications by materiality and risk factors....