DARR
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
Source frameworks
12 source framework citation keys
Clarke2023, Coghlan2023, DSIT2023, EPIC2023, Ferrara2023, Hammond2025, Hogenhout2021, Li2025, Maas2023, NIST2024, TC2602024, Uuk2025
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
ISO 238941
  • A.12 ISO/IEC 23894 Annex A A.12
ISO 420012
  • 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
NIST GenAI1
  • GENAI.8 Information Integrity
OWASP LLM1
  • LLM09:2025 Misinformation

Part of the Deployer AI Risk Register, an open-source resource developed 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.