Moreover, the author criticizes the bill for not addressing potential harms of AI advancement, such as bias and deepfakes. Instead, the bill sets an arbitrary threshold for regulation based on computing power or training cost, which could restrict innovation across sectors. The author calls for AI legislation that empowers open-source development, establishes well-reasoned rules, and builds consumer confidence. The author also offers to collaborate with Senator Scott Wiener, the bill's author, to create more effective AI legislation.
Key takeaways:
- SB-1047, a proposed AI legislation in California, is criticized for its potential to stifle innovation, hamper open-source development, and hinder academic AI research.
- The bill holds both the party responsible for misuse of an AI model and the original developer liable, which could lead to defensive behavior among developers.
- SB-1047 mandates a 'kill switch' for certain AI models, which could discourage developers from collaborating and innovating in the open-source community.
- The legislation does not address key issues related to AI advancement, such as bias and deepfakes, and instead sets an arbitrary threshold for regulation, potentially restricting innovation across sectors.