⚡ Quick Summary
This curated compilation of AI governance resources is credited in its footer to Kevin Fumai and stamped "AIG Resource Repository_4.14.2025". It is offered as a "blueprint" for anyone who wants to learn about the field and find a place in it, with the explicit caveats that it is not a guide for the AIGP certification and that it is "NOT LEGAL ADVICE".
The document is organised in four parts — Learn, Try, Volunteer and Train — with the note that personal growth is "non-linear and multi-modal". Learn gathers newsletters, podcasts, TED Talks, courses and books, including the University of Helsinki's Elements of AI, Google's AI Essentials and titles such as The Alignment Problem and Atlas of AI. Try covers AI tools with links to their terms and system cards, prompt courses from Vanderbilt, OpenAI Academy and LinkedIn Learning, and governance references: IAPP and NIST glossaries, the MIT AI Risk Repository, the OECD Catalogue of Tools & Metrics for Trustworthy AI, the AI Incident Database, and jurisdictional entries for the EU AI Act and AI Pact, US Executive Order 14179 (January 23, 2025), the NIST AI RMF and ISO/IEC 22989 and 42001. Volunteer lists communities and projects; Train lists certifications including the IAPP AI Governance Professional, ForHumanity programmes and the IEEE CertifAIEd Assessor.
🧩 What’s Covered
The list is grouped into four sequential parts, each with named entries.
- Learn: newsletters for industry developments, unique insights and deeper cuts, arranged by cadence (daily, weekly, bi-weekly); podcasts; TED Talks sorted into AI capabilities, AI governance, risk and ethics, and AI's impact on business, life and society; courses from the University of Helsinki, Google, Microsoft and DeepLearning.AI plus deeper courses; and book lists grouped by AI fundamentals, limitations and concerns, strategy and impact, and governance and ethics.
- Try — AI tools and prompting: chatbots (ChatGPT, Claude, Gemini) with their terms of use, system cards and prompt guides; search, research, image, video, voice and music, and presentation tools, some marked as paid; and prompt courses from Vanderbilt, OpenAI Academy and LinkedIn Learning.
- Try — AI governance: glossaries (IAPP, NIST); key repositories (MIT AI Risk Repository, AI Standards Hub, OECD Catalogue of Tools & Metrics for Trustworthy AI, AI Incident Database, OECD AI Incidents Monitor); jurisdictional approaches and industry standards for the EU, US and ISO/IEC; key industry reports (Stanford AI Index, McKinsey State of AI, Air Street Capital State of AI and others); global and US state legislation trackers; and US litigation trackers.
- Volunteer: active communities (All Tech is Human, ForHumanity, IAPP, OWASP, Women in AI and others, some with paid membership) and active projects (AI for Good, Better Images of AI, Fairlearn, IEEE Standards and others).
- Train: certification and training routes — the IAPP AI Governance Professional, ForHumanity's Foundations of Independent Audit of AI Systems and Algorithm Ethics, and the IEEE CertifAIEd Assessor.
- Ground rules: almost all resources are free except a handful marked with a dollar sign; the compilation excludes a section on people who share content on LinkedIn; it states it is not an AIGP guide; it carries a "THIS IS NOT LEGAL ADVICE" disclaimer; and it says it will evolve with curated learning paths for industries, jurisdictions and issues.
💡 Why it matters?
For anyone who has to govern, assess or audit AI systems, the value lies in the shortcuts it provides: one index of free glossaries, risk repositories, incident databases, legislation and litigation trackers, with pointers to the primary sources behind them, such as the EU AI Act, Executive Order 14179, ISO/IEC 42001 and the NIST AI RMF with its Generative AI Profile and Playbook. It also names the certifications and audit programmes that credential practitioners, which helps teams plan capability building and see where standards, oversight bodies and regulation sit alongside each other.
❓ What’s Missing
The compilation is a signpost, not an analysis: entries are names, occasionally with a cadence or a paid marker, but without summaries, evaluation criteria, maturity levels or mappings between the frameworks listed. Coverage is weighted to the United States and the European Union, while the ISO/IEC entries stop at 22989 and 42001. The governance section names repositories but does not explain how to use them, and the Train list is short. The document itself says it will evolve, so entries may date quickly; the US and NIST items correspond to those current when Executive Order 14179 (January 23, 2025) was cited.
👥 Best For
Best for individuals building their own AI governance knowledge base — compliance and policy staff mapping the primary sources behind the EU AI Act, the NIST AI RMF or ISO/IEC 42001; auditors looking for incident databases and audit training; practitioners assembling a self-study path from free courses, books and podcasts; and newcomers who want a single starting list of communities, projects and certifications.
📄 Source Details
The resource is AI Governance Resource Repository, whose running footer reads "© Kevin Fumai. AIG Resource Repository_4.14.2025". No publisher imprint, author statement, series or reference number is printed, and no URL for the document itself appears in the text. The input was the complete extracted text of all seven pages, with page breaks marked; the text includes a footer version stamp reading 4.14.2025 but no separate publication statement.
