Mass surveillance and censorship enablement
The system is used to conduct illegitimate mass surveillance, profiling, or censorship of individuals or populations.
- Risk family
- Human & usage
- MIT domain
- 4. Malicious Actors & Misuse
- MIT subdomain
- 4.1 > Disinformation, surveillance, and influence at scale
- AI type
- GPAI, Classical_ML
- Scope
- Both
- Source standard
- MIT AI Risk Repository v4
Provenance
25 entries across 17 papers
- Abercrombie2024A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms58.06.04 58.06.05 58.06.07 58.07.03
- Anwar2024Foundational Challenges in Assuring Alignment and Safety of Large Language Models73.03.03
- Ferrara2023GenAI against humanity: nefarious applications of generative artificial intelligence and large language models46.04.03
- G'sell2024Regulating under Uncertainty: Governance Options for Generative AI47.02.05
- Gabriel2024The Ethics of Advanced AI Assistants24.03.12 24.03.13
- Gipiškis2024Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems62.18.01 62.31.10
- Hendrycks2022X-Risk Analysis for AI Research35.05.00
- Hendrycks2023An Overview of Catastrophic AI Risks22.01.04
- Leech2024Ten Hard Problems in Artificial Intelligence We Must Get Right54.01.04
- Li2025A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents66.09.05
- Perlo2025Embodied AI: Emerging Risks and Opportunities for Policy Action70.04.05
- Shelby2023Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction11.04.01 11.04.04
- Uuk2025A Taxonomy of Systemic Risks from General-Purpose AI61.02.05 61.02.43
- Weidinger2021Ethical and social risks of harm from language models17.04.04 17.05.02
- Weidinger2022Taxonomy of Risks posed by Language Models16.04.04
- Wirtz2020The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration20.03.00
- Wirtz2022Governance of artificial intelligence: A risk and guideline-based integrative framework19.02.03
Ev IDs of the entries consolidated into this risk in the MIT AI Risk Repository (V4); the source sheet row appears on hover.
Framework crosswalk
Every framework item mapped to this risk. Items marked partial overlap only in part; definitions appear on hover where the source licence permits.
1- A.8 ISO/IEC 23894 Annex A A.8
2- A.5.5 ISO/IEC 42001 Annex A A.5.5
- A.9.4 ISO/IEC 42001 Annex A A.9.4
3- Art. 26(10)
- Art. 5(e)
- Art. 50(3)
1- AISubtech-16.1.1 Logging Sensitive Conversations partial
More in Human & usage
See all Human & usage risks →Part of the Deployer AI Risk Register, an open-source resource powered by MindXO. Version 1.0, 3 July 2026. Derived from the MIT AI Risk Repository (V4, December 2025) under CC BY 4.0; an independent derivative work, not endorsed by or affiliated with MIT. Sub-risk decomposition references MITRE ATLAS™ v5.6.0 (© 2021-2026 The MITRE Corporation, reproduced and distributed with permission). ISO/IEC and EU AI Act references are by number only. License: CC BY 4.0. Full attribution and licensing.