Advancing Enterprise AI Governance & Risk Accountability
Independent research, standards alignment, and governance frameworks for organizations navigating artificial intelligence risk. Anchored in ISO/IEC 42001 and international best practice.
AIRG Institute is an independent non-profit advancing responsible AI governance through rigorous research, ISO/IEC 42001 and ISO/IEC 27001 standards alignment, and the development of enterprise-grade AI risk frameworks for complex organizational environments.
Our Core Pillars
Three interconnected areas of institutional work, united by a commitment to rigorous, independent governance research.
Research & Policy
Publishing independent white papers, governance frameworks, and policy briefs on enterprise AI risk, algorithmic accountability, and responsible AI deployment standards.
Standards Alignment
Developing governance frameworks aligned with ISO/IEC 42001, ISO/IEC 27001, NIST AI RMF, and the EU AI Act to help enterprises build auditable, credible AI management systems.
Stakeholder Engagement
Convening enterprises, regulators, civil society, and academic researchers through the Enterprise Responsible AI Council (ERAC) to develop shared governance norms.
42001
Core Governance Standard
27001
Information Security Alignment
AI RMF
US Federal Risk Framework
Act
Regulatory Compliance Alignment
Featured Publications
Independent research to help organizations govern AI responsibly and in alignment with international standards.
Toward Enterprise-Grade AI Governance: A Risk-Based Framework for Responsible Artificial Intelligence
A comprehensive standards-aligned framework integrating ISO/IEC 42001, ISO/IEC 27001, NIST AI RMF, and EU AI Act for enterprise AI governance.
Read More →Aligning AI Governance with ISO/IEC 42001: A Practitioner's Guide for Enterprise Implementation
Step-by-step guidance for organizations pursuing ISO/IEC 42001 alignment, from initial readiness assessment through certification.
Coming Soon →AI Accountability in High-Stakes Enterprise Domains: Healthcare, Finance, and Critical Infrastructure
Sector-specific AI governance frameworks and accountability mechanisms for organizations operating in high-risk AI deployment environments.
Coming Soon →