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MR-045 Governance & process Organization scope

Insufficient documentation, transparency and data provenance

Inadequate documentation of the model, system, or data provenance/value-chain undermines auditability and accountability.

Risk family
Governance & process
MIT domain
6. Socioeconomic and Environmental
MIT subdomain
6.5 > Governance failure
AI type
GPAI, Classical_ML, Agentic
Scope
Organization
Source standard
MIT AI Risk Repository v4

Provenance

Source standard
MIT AI Risk Repository v4
MIT source entries
9 entries across 4 papers
  • AIVerify2023Summary Report: Binary Classification Model for Credit Risk26.01.00
  • IBM2025AI Risk Atlas65.01.01 65.01.02 65.21.02 65.22.01 65.22.04
  • Teixeira2022An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance42.07.00 42.24.00
  • Wirtz2020The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration20.01.02

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 2 | 42001 ctrl A.4.2, A.6.2.3, A.6.2.7, A.7.5, A.8.2
EU AI Act articles
Art. 13
GPAI Code of Practice
Transparency Ch. Measure 1.2

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
1
  • A.12 ISO/IEC 23894 Annex A A.12
5
  • A.4.2 ISO/IEC 42001 Annex A A.4.2
  • A.6.2.3 ISO/IEC 42001 Annex A A.6.2.3
  • A.6.2.7 ISO/IEC 42001 Annex A A.6.2.7
  • A.7.5 ISO/IEC 42001 Annex A A.7.5
  • A.8.2 ISO/IEC 42001 Annex A A.8.2
2
  • Art. 13
  • CoP Transparency Ch. Measure 1.2
Cross-checksframeworks mapped in to test coverage
6
  • ibm-lack-of-ai-agent-transparency Lack of AI agent transparency
  • ibm-lack-of-data-transparency Lack of data transparency
  • ibm-lack-of-model-transparency Lack of model transparency
  • ibm-lack-of-system-transparency Lack of system transparency
  • ibm-lack-of-training-data-transparency Lack of training data transparency
  • ibm-uncertain-data-provenance Uncertain data provenance
1
  • GENAI.12 Value Chain and Component Integration

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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.