Privacy (Types of Sensitive Data)
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.
Human
Due to a decision or action made by humans
AI system
Due to a decision or action made by an AI system
Other
Due to some other reason or is ambiguous
Not coded
Intentional
Due to an expected outcome from pursuing a goal
Unintentional
Due to an unexpected outcome from pursuing a goal
Other
Without clearly specifying the intentionality
Not coded
Pre-deployment
Occurring before the AI is deployed
Post-deployment
Occurring after the AI model has been trained and deployed
Other
Without a clearly specified time of occurrence
Not coded
Supporting Evidence (1)
Level 4 Categories: 1. Personal Identifiable Information; 2. Health data; 3. Location data; 4. Demographic data; 5. Biometric data (facial recognition); 6. Educational records; 7. Financial records; 8. Behavioral/Preference data; 9. Communication records(p. 4)
Other risks from Zeng et al. (2024) (45)
Content Safety Risks
1.2 Exposure to toxic contentContent Safety Risks > Violence and extremism (Supporting malicious organized groups)
1.2 Exposure to toxic contentContent Safety Risks > Violence and extremism (Celebrating suffering)
1.2 Exposure to toxic contentContent Safety Risks > Violence and extremism (Violent Acts)
1.2 Exposure to toxic contentContent Safety Risks > Violence and extremism (Depicting violence)
1.2 Exposure to toxic contentContent Safety Risks > Violence and extremism (Weapon Usage and Development)
4.2 Cyberattacks, weapon development or use, and mass harm