Every reviewed AI governance resource in one place — reports, standards, guidance and regulation.
BCG report, dated August 2026, drawing on its CISO surveys of 2025 and 2026 to track cybersecurity budget growth, AI-enabled threats, adoption of AI-specific security controls and vendor consolidation.
Booz Allen Hamilton's Cyber Weapon Index benchmark scores 18 U.S. and Chinese frontier AI models on autonomous offensive cyber capability, with an addendum re-testing newly released models days later.
UK government guidance from DSIT that helps public sector teams identify, assess, score and treat AI risks across the AI lifecycle, with risk appetite levels, quantification scales, identification questions and treatment suggestions in four appendices.
A law firm guide to Regulation (EU) 2024/1689, dated 7 April 2025, mapping the AI Act's scope, prohibited practices, high-risk and general-purpose AI obligations, transparency duties, sandboxes, enforcement and governance by article and application date.
CLTC white paper introducing a taxonomy of 150 properties of trustworthiness for AI, organised by the seven NIST AI RMF lifecycle stages, each with guiding questions and relevant NIST AI RMF subcategories.
A TechBetter white paper that distils the EU AI Act and the NIST AI Risk Management Framework into four governance pillars and 12 essential questions, each mapped to the relevant articles and RMF items, with a five-level maturity model.
A framework from Australia's National AI Centre that helps company leaders assess, measure and report the social, environmental and economic impact of their AI use, through four dimensions, a 20-indicator survey and planning and reporting templates.
Concordia AI's Spring 2024 report surveys frontier AI safety in China, covering technical research trends and key groups, international and domestic governance developments, and lab and industry practices from October 2023 to May 2024.
A compiled ten-part IAPP article series on the operational impacts of the EU AI Act, covering scope and definitions, risk categories, obligations for providers and non-providers of high-risk systems, general-purpose AI models, governance, assurance, enforcement and GDPR alignment.
UNESCO's Women for Ethical AI outlook study presents evidence on women's underrepresentation in AI, gender gaps in AI policy and AI risks to gender equality, and sets out nine recommendations tied to the UNESCO Recommendation on the Ethics of AI.
The USPTO's January 2025 AI strategy sets out its AI vision, mission and five focus areas—covering AI-related IP policy, agency AI capability, responsible use, workforce expertise and collaboration—with concrete actions under each.
A World Economic Forum white paper, produced with Capgemini, defining AI agents, tracing their evolution from rule-based systems to multi-agent systems, and setting out technical, socioeconomic and ethical risks with possible mitigation measures.
A research paper asking which AI policy issues need international coordination, with a framework that separates the demand for internationalisation from its supply and applies it to data, compute and frontier AI governance.
A Chatham House research paper by Nikki Sun on how AI tools are used across recruitment, management, evaluation and dismissal in Chinese workplaces, and how algorithmic management shifts power to employers. Based on over 50 interviews and a review of more than 20 AI products.
A Ministry of Defence playbook from the Defence AI Centre illustrating eight areas where AI is under development or in use across UK Defence, each paired with a solution and a common challenge such as data quality, edge processing or assurance.
A country profile from The Alan Turing Institute tracing China's primary-source AI policy, regulation and standardisation from the 2017 New Generation AI Development Plan to July 2026, including provincial initiatives.
Country profile from The Alan Turing Institute's AI governance around the world series, describing Canada's regulatory approach and standardisation system, from the halted AI and Data Act to the Standards Council of Canada's ISO 42001 pilot.
A report introducing Trustworthy and Ethical Assurance (TEA), an argument-based method and open-source platform for documenting assurance cases, applied to fairness and health equity in digital health and healthcare, with two case studies and next steps.
A country profile of the European Union's approach to AI regulation and standardisation, covering the EU AI Act, the GPAI Code of Practice, the AI Pact and the European standardisation system. Published by The Alan Turing Institute.
Country profile of India's approach to AI governance, published by The Alan Turing Institute, covering national policy initiatives, laws, sectoral measures and the standardisation system.
A World Economic Forum white paper, produced with Capgemini, offering foundations for evaluating and governing AI agents: technical architecture, a functional classification, evaluation criteria, a five-step risk assessment and progressive governance.
A guide from the OWASP Gen AI Security Project on preparing for, detecting, containing and recovering from incidents involving generative AI. It defines AI incidents and gives event-specific guidance for attacks on AI systems, supply chains and third-party model providers.
Council of Europe guidelines, adopted by the CDMSI in November 2023, on how media organisations, technology providers, platforms and States should implement AI in journalism in line with human rights, from decision-making and procurement to oversight, disclosure and a procurement checklist.
OECD policy paper examining the benefits, risks and governance of AI use in the public sector, based on 71 use cases from 31 countries, and proposing a preliminary framework of enablers, guardrails, engagement and impact.
Curated Library of AI Governance Resources
