MR-023 Model & system behaviour Both scope

Contribution to misinformation and information-ecosystem degradation

The system generates or spreads inaccurate content at scale, polluting the information ecosystem and eroding trust in information, without necessarily deliberate intent (as distinct from coordinated influence operations, MR-026).

Risk family: Model & system behaviour
MIT domain: 3. Misinformation
MIT subdomain: 3.2 > Pollution of information ecosystem and loss of consensus reality
AI type: GPAI
Scope: Both
Source standard: MIT AI Risk Repository v4

Provenance

Source standard

MIT AI Risk Repository v4

MIT source entries

16 entries across 12 papers

Clarke2023A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values55.04.01
Coghlan2023Harm to Nonhuman Animals from AI: a Systematic Account and Framework44.04.03
DSIT2023Capabilities and Risks from Frontier AI67.01.01
EPIC2023Generating Harms - Generative AI's impact and paths forwards31.01.00
Ferrara2023GenAI against humanity: nefarious applications of generative artificial intelligence and large language models46.03.01 46.03.03
Hammond2025Multi-Agent Risks from Advanced AI63.05.01
Hogenhout2021A framework for ethical Ai at the United Nations06.05.00
Li2025A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents66.03.02 66.04.01
Maas2023Advancing AI Governance: A Literature Review of Problems, Options, and Proposals53.04.00 53.04.03
NIST2024Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile48.08.00
TC2602024AI Safety Governance Framework45.02.09
Uuk2025A Taxonomy of Systemic Risks from General-Purpose AI61.01.09 61.02.20

Ev IDs of the entries consolidated into this risk in the MIT AI Risk Repository (V4); the source sheet row appears on hover.

ISO/IEC references

23894 obj A.12; src 8; mech B.8 | 42001 ctrl A.8.2, A.5.5

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.

Sourcesframeworks that contributed to the register

A.12 ISO/IEC 23894 Annex A A.12

A.5.5 ISO/IEC 42001 Annex A A.5.5
A.8.2 ISO/IEC 42001 Annex A A.8.2

Cross-checksframeworks mapped in to test coverage

GENAI.8 Information Integrity

LLM09:2025 Misinformation

More in Model & system behaviour

MR-001 MR-002 MR-003 MR-004 MR-005 MR-006 MR-007 MR-008 MR-019 MR-021 MR-022 MR-025 MR-026 MR-027 MR-028 MR-029 MR-031 MR-049 MR-050 MR-051 MR-052 MR-053 MR-055 MR-056 MR-057 MR-058 MR-059 MR-061

See all Model & system behaviour 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.