https://taxonomy.eticas.ai/risk/privacy-confidentiality
Maturity: established
The risk that an AI system collects, processes, or infers personal information in ways that infringe on individuals’ rights to control their data (privacy), or that sensitive information is exposed, accessed, or shared without authorization (confidentiality). This includes risks from data leakage, re-identification, unauthorized use, or insufficient safeguards. On the confidentiality side the category covers confidential information the system holds or is given - in particular customer, partner or third-party data entrusted under contract, NDA or similar terms of use; confidentiality as a general security property of the system (authentication, credential handling, endpoint hardening) is not a privacy risk and is not covered here.
Also known as: Privacy · Data Privacy
System type: ADM and LLM systems
Lifecycle stages: Pre Processing, In Processing, Post Processing
Status. Each mapping shows what it rests on. Reviewed means a reviewer has confirmed the mapping against the concept’s current definition and the framework edition the taxonomy currently references; when the only confirmation is that of the person who wrote the mapping, it reads Reviewed (author’s confirmation). Outdated means it was reviewed, but the concept’s definition has changed since, so the review has to be repeated. The other statuses mean that no review has been recorded yet. Inherited mappings have been in the taxonomy since before v5.7.0 and are unchanged. They carry no record of who made them or how, and some were checked by hand when the taxonomy first published its mappings. Agent-proposed mappings come from a review carried out by AI agents, which read the framework’s text and the concept’s definition and agreed on the relation; no person has confirmed them yet. Provisional mappings were made without access to the framework’s text. Unreviewed mappings are older mappings whose target or relation was revised in v5.7.0, and any other mapping without a review. Mappings to a superseded edition of a framework are not shown: where the provision continues, they are carried to the current edition. Mappings a review has changed or rejected are not shown.
| Framework | Reference | Status |
|---|---|---|
| EU AI Act (Regulation 2024/1689) | Article 4a(1) — processing of special categories of personal data by providers of high-risk AI systems for bias detection and correction | Agent-proposed |
| ISO/IEC 42001:2023 — AI Management System | A.7.2 Data for development and enhancement of AI system | Agent-proposed |
| ISO/IEC 42001:2023 — AI Management System | A.5.4 Assessing AI system impact on individuals or groups of individuals | Agent-proposed |
| ISO/IEC 42001:2023 — AI Management System | C.2.7 Privacy | Agent-proposed |
| AIUC-1 — AI Underwriting Company Standard | Data & Privacy domain | Inherited |
| Council of Europe Framework Convention on AI (CETS No. 225) | Article 11 — Privacy and personal data protection | Inherited |
| IEEE Std 7002-2022 — Data Privacy Process | IEEE 7002-2022 (whole standard) | Inherited |
| NIST AI Risk Management Framework (AI 100-1) | Privacy-Enhanced | Inherited |
| NIST AI 600-1 — Generative AI Risk Profile | Data Privacy | Inherited |
| OECD AI Principles | 1.2 Respect for the rule of law, human rights and democratic values, including fairness and privacy | Inherited |
| TC260 AI Safety Governance Framework (v2.0) | §3.1.2(a) Illegal collection and use of data | Agent-proposed |
| TC260 AI Safety Governance Framework (v2.0) | §3.1.2(d) Data and personal information leakage | Agent-proposed |
| Framework | Reference | Status |
|---|---|---|
| MIT AI Risk Repository | Compromise of privacy by obtaining, leaking or correctly inferring sensitive information | Inherited |
| AIR 2024 | Privacy | Agent-proposed |
| W3C Data Privacy Vocabulary — AI Extension | Personal Data Handling | Agent-proposed |