BackPrivacy
Privacy
Risk Domain
AI systems that memorize and leak sensitive personal data or infer private information about individuals without their consent. Unexpected or unauthorized sharing of data and information can compromise user expectation of privacy, assist identity theft, or cause loss of confidential intellectual property.
Users’ data, including location, personal information, and navigation trajectory, are considered as input for most data-driven machine learning methods
Entity— Who or what caused the harm
Intent— Whether the harm was intentional or accidental
Timing— Whether the risk is pre- or post-deployment
Other risks from Saghiri et al. (2022) (15)
Energy Consumption
6.6 Environmental harmAI systemUnintentionalPre-deployment
Data Issues
1.1 Unfair discrimination and misrepresentationAI systemUnintentionalOther
Robustness and Reliability
7.3 Lack of capability or robustnessAI systemUnintentionalPost-deployment
Cheating and Deception
7.2 AI possessing dangerous capabilitiesAI systemUnintentionalPost-deployment
Security
2.2 AI system security vulnerabilities and attacksHumanIntentionalOther
Fairness
1.3 Unequal performance across groupsAI systemUnintentionalPre-deployment