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A short education in Responsible AI.

Self-paced primers on the six pillars and four frameworks — NIST AI RMF, EU AI Act, ISO 42001, and OECD Principles. Free, no sign-up required.

Covers NIST AI RMF ISO 42001 EU AI Act OECD AI Principles 6 RAI Pillars
Curriculum tracks
Three tracks. Full curriculum coming soon.

Structured lessons with reading material and quizzes are in development. The free external resources below are available right now.

Track 01
Foundations

What is Responsible AI, why governance programs fail, and how to build one that lasts.

3 lessons · ~15 min
Track 02
Frameworks

Deep dives into NIST AI RMF, EU AI Act, ISO/IEC 42001, and OECD AI Principles — what they require and how they relate.

4 lessons · ~30 min
Track 03
Pillars

Fairness, Transparency, Accountability, Privacy, Safety, and Human Oversight — one focused lesson each.

6 lessons · ~40 min
Free external resources
The best free resources from leading organizations.

Curated links to primary sources — no aggregators, no paywalls.

NIST AI Risk Management Framework (AI RMF 1.0)
The US federal standard covering Govern, Map, Measure, and Manage functions. Free download.
Visit nist.gov →
EU AI Act — Official Full Text
The world's first comprehensive AI law (2024/1689). Risk classifications, prohibited uses, and compliance timelines.
Visit eur-lex.europa.eu →
OECD AI Principles & Policy Observatory
Five trustworthy AI principles adopted by 46 countries. Includes tools, country profiles, and policy tracker.
Visit oecd.ai →
UNESCO Recommendation on the Ethics of AI
Global normative framework adopted by 193 member states. Covers human rights, transparency, and accountability.
Visit unesco.org →
RAI Institute — Free Tools & Guides
Agent risk classification tool, AI policy generator, governance guides, and templates. No sign-up required.
Visit responsible.ai →
All Tech Is Human — RAI Courses & Community
Free responsible AI courses, job board, mentorship program, and practitioner community (44,000+ members).
Visit alltechishuman.org →
CAIDP — AI Policy Analysis & Resources
Center for AI and Digital Policy — global AI policy analysis, the AI Social Contract Index, and advocacy resources.
Visit caidp.org →
Microsoft Responsible AI Principles
Fairness, reliability, privacy, inclusiveness, transparency, and accountability — with implementation tools.
Visit microsoft.com →
Google Research — Responsible AI
Research papers and tools on fairness, interpretability, privacy, and safety in AI systems.
Visit research.google →

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