Governance & Standards
Advancing professional knowledge, governance frameworks, assurance practices, and voluntary standards for responsible, trustworthy, and accountable artificial intelligence.
Overview
IIAIGA seeks to advance the development and application of AI governance frameworks, assurance practices, and voluntary professional standards. Through knowledge development, research, education, and collaboration, the institute aims to help professionals and institutions strengthen accountability, manage AI-related risks, and promote responsible AI practices throughout the AI lifecycle.
AI Governance Frameworks
Practical governance domains that support organizational accountability, risk-aware decision-making, and responsible AI adoption.
Governance Structure & Roles
Risk & Impact Management
Policies & Controls
Ethics & Responsible AI
Oversight & Monitoring
AI Assurance Practices
Evidence-based practices for evaluating AI systems, identifying risks, assessing controls, and supporting confidence in their responsible use.
Standards & AIGBOK™
Advancing common professional knowledge, voluntary guidance, and standards-development objectives to support consistent, accountable AI governance and assurance practices.
AIGBOK™ — AI Governance Body of Knowledge
A structured, practitioner-oriented body of knowledge addressing AI governance principles, professional competencies, assurance concepts, and responsible AI practices.
Voluntary AI Governance & Assurance Standards
IIAIGA aims to develop and promote voluntary professional standards, reference frameworks, and guidance that support responsible AI governance and evidence-based assurance.
Professional Resources
Knowledge resources intended to strengthen professional competence, support responsible AI practices, and encourage evidence-based governance and assurance.
Guides & Framework Notes
Research & Working Papers
Case Studies & Use Cases
Tools & Templates
Webinars & Expert Discussions
Engage with IIAIGA
Connect with IIAIGA to explore professional engagement, knowledge exchange, standards-related interests, and institutional collaboration in AI governance and assurance.