Learning path

Regulatory Developments in AI: The Labs, the People, and the Stakes

AI regulation doesn't happen in a vacuum — it's shaped by the labs building the technology, the leaders testifying before governments, and the models that put capabilities in the public eye. This path traces the regulatory landscape by grounding it in the key actors: who they are, what they've built, and why policymakers are paying attention.

Suited for anyone who wants to understand the governance conversation without losing sight of the technical and organizational realities behind it.

Mixed level8 steps~42 min

8 steps

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Anthropic
Start here: Anthropic is one of the most prominent voices in AI safety and regulation, and understanding who they are frames much of the policy debate.
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OpenAI
OpenAI is the other central actor regulators keep returning to — its scale, products, and governance controversies have directly shaped legislative conversations worldwide.
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Google
Google rounds out the picture of the major incumbents whose lobbying power, compute infrastructure, and model releases all factor into how regulation gets written.
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Microsoft
Microsoft's deep investment in OpenAI and its enterprise reach make it a key player in how AI policy intersects with existing tech regulation.
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Dario Amodei
Dario Amodei has been one of the most visible lab leaders in regulatory settings — his public positions on safety and oversight are central to understanding Anthropic's policy stance.
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Zvi Mowshowitz
Zvi Mowshowitz is a prominent independent analyst whose detailed regulatory commentary helps contextualize what the labs say versus what observers think is actually happening.
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Claude
Claude is the flagship model regulators most often cite when discussing Anthropic's safety claims — knowing what it is grounds those discussions in something concrete.
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Hugging Face
Hugging Face represents the open-source side of the regulatory debate — a counterweight to the big labs and a flashpoint for questions about who should control model access.
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Regulatory Developments in AI: The Labs, the People, and the Stakes

Suited for anyone who wants to understand the governance conversation without losing sight of the technical and organizational realities behind it.

Mixed level8 steps~42 min

Anthropic

OpenAI

Google

Microsoft

Dario Amodei

Zvi Mowshowitz

Claude

Hugging Face