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Best resources to learnAI Policy & Regulation

Study sheet

AI policy covers how governments and institutions govern artificial intelligence. You will learn the EU AI Act, US and Chinese approaches, risk-based regulation, compute governance, liability and copyright questions, and how policy on frontier models is made.

8 resources · · How we curate

🎓Courses(1)

course

Frontier AI Governance Course

The only structured, free, current syllabus focused specifically on how policy for frontier models is made. Cohort-based course of about 40 hours covering frontier AI evidence, the institutions and power dynamics shaping AI governance, competing regulatory strategies, and debates such as open-weight models. Units combine curated readings with facilitated discussion led by practitioners.

intermediate🇬🇧

📚Books(1)

bookPaid

Digital Empires: The Global Battle to Regulate Technology

Comparative study of the American market-driven, Chinese state-driven and European rights-driven models of technology regulation, and how they collide internationally across antitrust, data privacy, content moderation and artificial intelligence. Supplies the framework for comparing US, Chinese and EU AI policy.

intermediate🇬🇧

🌐Websites(1)

website

EU AI Act: High-Level Summary and AI Act Explorer

Article-by-article guide to Regulation (EU) 2024/1689 with a plain-language summary of its risk tiers, prohibited practices, high-risk obligations and general-purpose AI model rules, plus a searchable full text, implementation timeline and compliance checker. Beats law-firm explainers on neutrality and completeness. Updated for the 2026 Digital Omnibus amendments.

beginner🇬🇧

📄Papers(4)

paper

U.S. Tort Liability for Large-Scale Artificial Intelligence Damages: A Primer for Developers and Policymakers

Explains how existing U.S. tort law, including negligence and products liability, would apply to AI developers whose models cause or are misused to cause large-scale harm, and how safety practices and legislation could change developers' liability exposure. Written for non-lawyers: this is the clearest rigorous free primer aimed at policy audiences rather than litigators.

intermediate🇬🇧
paper

Copyright and Artificial Intelligence, Part 3: Generative AI Training

Report from the U.S. Copyright Office analyzing whether training generative AI models on copyrighted works infringes, how the four fair-use factors apply to training and outputs, and policy options including voluntary and collective licensing. Draws on over 10,000 public comments. Learners should note it was released amid the dismissal of the Register of Copyrights and that 2025 district court rulings (Bartz v. Anthropic, Kadrey v. Meta) reached partly different conclusions.

advanced🇬🇧
paper

Computing Power and the Governance of Artificial Intelligence

Argues that AI compute is detectable, excludable, quantifiable and produced by a concentrated supply chain, making it a practical lever for governance. Analyzes export controls, compute thresholds, reporting and allocation mechanisms, and the risks and limits of compute-based policy. The concepts (FLOP thresholds, chip export controls, know-your-customer for cloud) underpin the EU AI Act GPAI systemic-risk threshold and US export control policy.

advanced🇬🇧
paper

China's AI Policy at the Crossroads: Balancing Development and Control in the DeepSeek Era

The most current rigorous, free treatment that covers both China's regulatory instruments and the policy process behind them. Traces Chinese AI policy through four eras up to 2025, covering the CAC algorithm registry, generative AI measures, 2025 labeling rules for synthetic content, bureaucratic rivalry between regulators, and the AI+ industrial initiative. Explains how Chinese AI rules are drafted and revised.

intermediate🇬🇧

🎙️Podcasts(1)

podcast

Scaling Laws

Weekly interview and rapid-response podcast on AI law and policy, covering federal preemption of state AI laws, frontier model regulation, AI assurance and liability. Hosted by law professor Alan Rozenshtein and Kevin Frazier with policymakers, researchers and lab staff.

intermediate🇬🇧
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Frequently Asked Questions

What are the best free resources to learn AI Policy & Regulation?

Dantes has curated 8 resources for AI Policy & Regulation, including 1 books, 1 courses, 1 websites, 4 papers, 1 podcasts. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is AI Policy & Regulation hard to learn?

AI Policy & Regulation is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of AI Policy & Regulation learning resources are available on Dantes?

For AI Policy & Regulation, Dantes has curated 1 books, 1 courses, 1 websites, 4 papers, 1 podcasts. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select AI Policy & Regulation resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for AI Policy & Regulation, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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