MIT AI Risk Repository · Risk Sub-Category · 58.06.11
Privacy loss
Category: Human rights and civil liberties
Description
"Privacy loss - Unwarranted exposure of an individual’s private life or personal data through cyberattacks, doxxing, etc."
From A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Domain
- 2. Privacy & Security
- Causal entity
- Human
- Intent
- Intentional
- Timing
- Post-deployment
Subdomain definition: Vulnerabilities in AI systems, software development toolchains, and hardware that can be exploited, resulting in unauthorized access, data and privacy breaches, or system manipulation causing unsafe outputs or behavior.
Real-world incidents in this subdomain
- COEMPT Quality Assurance Engineers Allegedly Violated Indian CBSE Student Data Privacy Rights by Processing It with Google Gemini
- Hidden Prompt Injection in Brazilian Labor-Court Petition Reportedly Tried to Manipulate Galileu
- Meta Internal AI Agent Reportedly Gave Advice That Allegedly Exposed Sensitive Data to Unauthorized Employees
- CodeWall's Autonomous Agent Reportedly Obtained Unauthorized Access to McKinsey's Lilli AI Platform Database
- Anthropic Said DeepSeek, Moonshot, and MiniMax Used Fraudulent Accounts and Proxies to Illicitly Distill Claude Capabilities at Scale
- DJI Romo Cloud Authorization Bug Reportedly Exposed Camera, Microphone, and Home-Mapping Data From Nearly 7,000 Robot Vacuums
How other frameworks describe this risk
Other entries from Abercrombie2024
- Autonomy
- Autonomy/agency loss
- Impersonation/identity theft
- IP/copyright loss
- Personality rights loss
- Physical
- Bodily Injury
- Loss of Life
- Personal Health Deterioration
- Property Damage
- "Psychological - Direct or indirect impairment of the emotional and psychological mental health of an individual, organisation, or society."
- Addiction