MIT AI Risk Repository · Risk Sub-Category · 70.02.01

Privacy Violations

Category: Informational Risks

Open the MIT Risk Navigator All entries from Perlo2025

Description

"EAI systems interact with huge amounts of data, creating significant privacy concerns. These systems are often trained on vast corpora and process a variety of data modalities— spanning visual, auditory, and tactile information—during deployment [12]. Like text-based virtual AI models, which are known to memorize and expose personally identifiable information [75, 76], commercial robots have been shown to disclose proprietary information through simple prompts [61]."

From Embodied AI: Emerging Risks and Opportunities for Policy Action (Perlo2025), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: 2. Privacy & Security
Subdomain: 2.1 Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
Causal entity: AI
Intent: Unintentional
Timing: Post-deployment

Subdomain definition: 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 loss of confidential intellectual property.

Real-world incidents in this subdomain

Browse all incidents in this subdomain

How other frameworks describe this risk

Risks to privacy
International Scientific Report on the Safety of Advanced AI (Bengio2024)
Risks to privacy
International AI Safety Report 2025 (Bengio2025)
Privacy Leakage
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)
Private Training Data
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)
Memorization in LLMs
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)
Association in LLMs
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)
Privacy Leakage
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)
Privacy and regulation violations
Navigating the Landscape of AI Ethics and Responsibility (Cunha2023)

Other entries from Perlo2025

Physical Risks Risk Category
Purposeful or malicious harm Risk Sub-Category · 4.2
Purposeful or malicious harm Additional evidence
Accidental harm Risk Sub-Category · 7.3
Accidental harm Additional evidence
Informational Risks Risk Category
Privacy Violations Additional evidence
Misinformation Risk Sub-Category · 3.1
Misinformation Additional evidence
Economic Risks Risk Category · 6.0
Labour Displacement Risk Sub-Category · 6.2
Labour Displacement Additional evidence