The collection
AI Governance Library
A curated library of AI governance resources
Cybersecurity Budgets Are Growing Fast. AI Threats Are Growing Faster
The Offensive Frontier: AI as the Attacker: A New Cyber Weapon Index and the Strategic Imperative to Accelerate Agentic AI Offense and Defense
AI Risk Management Toolkit: guidance
European Union Artificial Intelligence Act: a guide
A Taxonomy of Trustworthiness for Artificial Intelligence: Connecting Properties of Trustworthiness with Risk Management and the AI Lifecycle
The 12 Essential Questions for Responsible AI Governance: Unifying EU AI Act & NIST AI RMF
The AI Impact Navigator: A guide for leaders to steward AI impact — socially, environmentally, and economically
The State of AI Safety in China: Spring 2024 Report
Top 10 operational impacts of the EU AI Act
Outlook Study on Artificial Intelligence and Gender
USPTO Artificial Intelligence Strategy
Navigating the AI Frontier: A Primer on the Evolution and Impact of AI Agents
What Should be Internationalised in AI Governance
Workplace AI in China: The changing profile of work and labour
The Defence AI Playbook
AI Governance around the world – Country Profile: China
AI governance around the world: Country profile: Canada
Trustworthy and Ethical Assurance of Digital Health and Healthcare: Supporting an assurance ecosystem for data-driven technologies in health and healthcare
AI Governance around the world: Country Profile: European Union
AI governance around the world: Country profile: India
AI Agents in Action: Foundations for Evaluation and Governance
GenAI Incident Response Guide
Guidelines on the Responsible Implementation of Artificial Intelligence Systems in Journalism
Governing with Artificial Intelligence: Are governments ready?
Taxonomy of Failure Mode in Agentic AI Systems
State of AI Policy in Africa 2025
Frontier Safety Framework Version 2.0
Frontier Safety Framework
Microsoft Responsible AI Standard, v2: General Requirements for External Release
AI Assurance: A Repeatable Process for Assuring AI-enabled Systems
AI Assurance – Challenges, Maturity, and Paths Forward
A Sensible Regulatory Framework for AI Security
The AI Assurance Landscape (v1.0): Toward a Standardized Framework of Unique and Differentiated AIA Concepts
Assuring AI Security and Safety Through AI Regulation
Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
Risk Discovery Protocol for AI Assurance (v1.0): Guidance for Administering the Protocol
Strategic review of the whole of Australian Government single seller arrangements
Policy for the responsible use of AI in government
Policy for the responsible use of AI in government
Responsible AI in the automotive industry: Techniques and use cases
National framework for the assurance of artificial intelligence in government: A joint approach to safe and responsible AI by the Australian, state and territory governments
Explanatory Report to the Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law
Guidance for AI adoption: implementation guidance
Governing with Artificial Intelligence: The State of Play and Way Forward in Core Government Functions
Red Teaming Artificial Intelligence for Social Good: The PLAYBOOK
Digital Government Outlook 2026: From Foundations to Transformational Impact
AI Governance Alliance Briefing Paper Series
Unlocking Value from Generative AI: Guidance for Responsible Transformation
Making Agentic AI Work for Government: A Readiness Framework
Privacy Governance Report 2024
The AI Governance Journey: Development and Opportunities
Preparedness Framework
Deploying AI Systems Securely: Best Practices for Deploying Secure and Resilient AI Systems
Frontier Governance Framework
AI assurance? Assessing and mitigating risks across the AI lifecycle
Practical AI for CEOs: When it really matters. A playbook for realizing value from your AI initiatives
Going pro? Considerations for the emerging field of AI assurance
Agentic AI addendum to the AI technical standard for Australian Government
Policy Alignment on AI Transparency: Analyzing Interoperability of Documentation Requirements across Eight Frameworks
Assessing Risk Relative to Competitors: An Analysis of Current AI Company Policies
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