Every reviewed AI governance resource in one place — reports, standards, guidance and regulation.
A whitepaper from Google explaining how generative AI agents combine a model, tools and an orchestration layer, covering Extensions, Functions and Data Stores, reasoning frameworks such as ReAct, and implementation with LangChain and Vertex AI.
A report from TechTonic Justice by Kevin De Liban that estimates how many low-income people in the United States are subject to AI decision-making in benefits, housing, employment, education, child welfare and domestic violence, and sets out advocacy recommendations.
A dated forecast scenario from the AI Futures Project tracing how superhuman AI could arrive between mid-2025 and 2030, with two endings: a race to AI takeover and a slowdown that keeps humans in control.
CERRE issue paper assessing whether the EU's digital acquis — the P2B Regulation, DMA, Data Act, AI Act, DSA, competition law and net neutrality rules — is prepared for AI agents, covering their definition, bottleneck inputs, contestability concerns and applicable obligations.
An introductory guide from the Australian Government's National Artificial Intelligence Centre on how AI relates to ESG work, mapping AI ethics principles to ESG topics and pointing to frameworks, examples and next steps.
A June 2025 release note for an incident tracker, listing changes dated 23 June 2025: AI Incident Database incidents up to ID #1116, revised LLM analysis, a 1–5 harm severity scale, national security impact assessment and fishbone cause diagrams.
Policy framework from the Forum on Information and Democracy recommending democratic control of AI in the information space, covering safe AI development and deployment, liability and accountability regimes, incentives for ethical AI, and governance and oversight.
A PwC slide deck for Data Day 2025 that explains the EU AI Act's timeline, risk classes and penalties and sets out an implementation model: lifecycle controls mapped to articles, a registered AI inventory, defined accountabilities and five key takeaways.
A curated compilation of free AI governance resources — newsletters, podcasts, courses, books, tools, repositories, jurisdictional standards, legislation trackers, communities and certifications — organised under Learn, Try, Volunteer and Train.
A practical guide for schools on what the EU AI Act requires, written by educator Matthew Wemyss. It explains the Act's risk levels, prohibited and high-risk uses in education, penalties, and steps to assess, review and comply.
A CSET issue brief proposing a standardized list of key components for AI incidents — event type, harm dimensions, technical data, context and post-incident data — as a template for mandatory AI incident reporting regimes.
A Responsible AI Institute guide on building and maintaining inventories of AI use cases for organizational risk management, covering definitional challenges, third-party AI integrations, risk identification, mitigation, and how regulations and standards can help.
The IAPP's Global AI Law and Policy Tracker records AI laws, policies, national strategies and responsible authorities across 25 jurisdictions on six continents, plus multilateral initiatives. Last updated May 2025.
A fill-in-the-blank organizational AI policy template from the Responsible AI Institute, with fourteen sections covering governance, principles, data, risk, procurement and compliance, aligned to ISO/IEC 42001 and the NIST AI RMF.
A Center for AI Policy paper by Claudia Wilson arguing that mandatory pre-deployment evaluations for the most powerful closed-source AI models would not slow US innovation, economic growth or military capability in competition with China.
Report of the Bipartisan House Task Force on Artificial Intelligence setting out a U.S. vision for AI adoption, responsible innovation and governance, with 66 key findings and 89 recommendations across 15 policy chapters.
Annual report of the Global Privacy Assembly's Global Frameworks and Standards Working Group covering its 2023-24 work on promoting global data protection standards and on cross-border transfer mechanisms, with comparative tables of contractual clauses.
A question-based guide by Dennis Ah-king for evaluating AI vendors on security, safety, privacy and ethics, covering governance, data handling, model robustness, auditability and supply chain risk.
OECD Artificial Intelligence Paper No. 22 mapping the OECD Privacy Guidelines to the OECD AI Principles, taking stock of privacy enforcement authorities' guidance and enforcement actions on AI, and identifying areas for international co-operation.
Joint statement from the Global Coalition on Telecommunications (UK, Australia, Canada, Japan and the US) setting out six principles for responsible AI adoption in telecoms operations, covering innovation, transparency, privacy, fairness, security and sustainability.
Facilitator-annotated workbook from The Alan Turing Institute's AI Ethics and Governance in Practice Programme on applying the SUM Values and sustainability across the AI lifecycle, with a three-part Stakeholder Impact Assessment template and workshop activities on an urban planning case study.
A country-by-country tracker of AI governance law and policy from the IAPP, covering 24 jurisdictions on six continents, with each entry listing the specific AI instrument, relevant authorities, adjacent laws and wider context. Last updated October 2024.
The White House's July 2025 action plan setting out the Trump Administration's AI policy goals across three pillars — innovation, infrastructure, and international diplomacy and security — as recommended actions for federal agencies.
Report by the Virginia Joint Commission on Technology and Science analysing the use of AI by public bodies in the Commonwealth, surveying federal guidance and other states' AI laws, and offering four legislative recommendations.
Curated Library of AI Governance Resources
