ISO/IEC 42001: AI Management System Reference for 2026
ISO/IEC 42001 remains the central international management-system reference for accountable AI governance and audit-ready controls.
Source: iso.org ↗
AI Governance
Evaluation studies, original analysis, and attributed reading on AI evaluation.
33 publications
ISO/IEC 42001 remains the central international management-system reference for accountable AI governance and audit-ready controls.
Source: iso.org ↗
AI Governance
Partnership on AI resources help teams turn responsible AI principles into deployment governance and accountability practices.
Source: partnershiponai.org ↗
AI Governance
ISO/IEC 23894 provides an international reference for AI risk management, risk registers, and treatment planning.
Source: iso.org ↗
AI Risk Management
MLCommons gives teams benchmark and evaluation context for structured, comparable AI performance evidence.
Source: mlcommons.org ↗
AI Evaluation
The OECD AI Principles and AI Policy Observatory remain key international references for trustworthy AI policy and governance mapping.
Source: oecd.ai ↗
AI Governance
ACM resources give professional and technical context for responsible computing, AI accountability, and governance practice.
Source: acm.org ↗
AI Governance
The Council of Europe's AI convention is an international reference for human rights, democracy, and rule-of-law considerations in AI governance.
Source: coe.int ↗
AI Governance
IEEE AI and ethics resources link technical design, human oversight, transparency, and accountability.
Source: standards.ieee.org ↗
AI Governance
The European Data Protection Board provides official data protection references for AI systems that process personal data.
Source: edpb.europa.eu ↗
Data Protection
Nature's AI research coverage is useful for understanding reliability limits, scientific evaluation, and responsible AI deployment.
Source: nature.com ↗
AI Evaluation
The UK ICO provides supervisory guidance on AI and data protection, including fairness, transparency, accountability, and explainability.
Source: ico.org.uk ↗
Data Protection
Science offers authoritative research and policy context for AI evaluation, governance, and evidence-based adoption.
Source: science.org ↗
AI Evaluation