Don’t Regulate AI Models. Regulate AI Use

The article argues for regulating AI applications and use cases rather than the underlying AI models themselves. The author contends that model-centric regulation fails because digital artifacts can't be controlled once released, while use-based regulation can effectively address real-world harms by scaling obligations according to deployment risk levels.

• →Multiple countries including China, EU, India, and the US are implementing different AI regulatory approaches creating a complex global landscape.
• →Model-centric regulation fails because AI weights and code replicate easily once released and may face First Amendment challenges in the US.
• →Use-based regulation should classify AI deployments by risk level with proportionate obligations for each tier.
• →The proposed framework ranges from basic disclosure for consumer chat to strict oversight for safety-critical applications.
• →Without proper regulation, deepfake scams and automated fraud will continue until a major incident triggers blunt regulatory responses.