Overreliance and automation bias
Users place uncritical trust in system outputs (automation bias), accepting incorrect results without verification.
- Risk family
- Human & usage
- MIT domain
- 5. Human-Computer Interaction
- MIT subdomain
- 5.1 > Overreliance and unsafe use
- AI type
- GPAI, Agentic, Classical_ML
- Scope
- Both
- Source standard
- MIT AI Risk Repository v4
Provenance
17 source framework citation keys
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.
- A.12 ISO/IEC 23894 Annex A A.12
- A.3 ISO/IEC 23894 Annex A A.3
- A.8.2 ISO/IEC 42001 Annex A A.8.2
- ibm-over-or-under-reliance Over- or under-reliance
- ibm-over-or-under-reliance-on-ai-agents Over- or under-reliance on AI agents
- GENAI.7 Human-AI Configuration
- LLM09:2025 Misinformation
- ASI09 Human-Agent Trust Exploitation
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.