AI Regulation Proposals Emerge in US

Published on 4.11.25

  The development of artificial intelligence (AI) has significant implications for various aspects of society, including the economy, politics, and individual freedoms. In this context, a recent submission by Carstens, Allen & Gourley to the US government highlights key concerns and recommendations regarding AI regulation. One area of focus is the use of pricing algorithms trained on nonpublic data from competitors, which could be prohibited under AB 325. This bill aims to curb anticompetitive practices in industries such as rent and surveillance pricing. The submission by Carstens, Allen & Gourley includes recommendations for creating a safe harbor exemption for data transfers to third-party Large Language Model instances. The firm also advocates for revising the USPTO policy on AI-generated inventions and clarifying copyright protection for AI-generated works. Furthermore, the submission suggests reviewing legacy technology laws and establishing a federal AI Act to ensure consistency in regulation across different industries. A coordinating agency would be established to oversee AI regulation and address concerns about the potential influence of large model owners on information dissemination.

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