AI Alliance Opposition Statement to California SB 1047

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thealliance.ai·thealliance.ai/core-projects/sb1047

This is the AI Alliance's formal opposition statement to California SB 1047, arguing the bill would harm open-source AI innovation and safety research while failing to achieve its stated goals of accessible, safe AI development.

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Summary

The AI Alliance formally opposes California's SB 1047 (Safe and Secure Innovation for Frontier Artificial Intelligence Models Act), arguing it contains technically infeasible requirements that would chill AI innovation and restrict open-source development. The statement contends that open-source AI is inherently more secure and transparent, and that the bill contradicts its own stated goals of making AI accessible to researchers and startups. The Alliance highlights member contributions to open AI ecosystems as evidence of open-source safety benefits.

Key Points

•SB 1047's technically infeasible requirements would slow innovation and undermine California's economic growth while contradicting the bill's own stated accessibility goals.
•Open-source AI development is argued to be more secure, as open model weights enable vulnerability identification and collaborative security improvements.
•Major AI Alliance members (IBM, Meta, Databricks, ServiceNow) demonstrate open-source AI's benefits for safety, productivity, and democratized access.
•Over 1,200 AI ecosystem participants signed a Joint Statement on AI Safety and Openness supporting transparency as fundamental to safety.
•The Alliance warns against establishing an anti-open-source precedent that could restrict academic researchers and startups from frontier AI access.

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A statement in opposition to California SB 1047

 Project The AI Alliance, a community of technology creators, developers, and adopters collaborating to advance safe, responsible AI rooted in open innovation, respectfully opposes SB 1047 , the proposed Safe and Secure Innovation for Frontier Artificial Intelligence Models Act . It would slow innovation, thwart advancements in safety and security, and undermine California’s economic growth. The bill’s technically infeasible requirements will chill innovation in the field of AI and lower access to the field’s cutting edge, thereby directly contradicting the bill’s stated purpose “...to ensure that artificial intelligence innovation . . . is accessible to academic researchers and startups, in addition to large companies.” Sec. 2(d).

 
 The AI Alliance is a community of researchers, developers, and organizational leaders committed to supporting and enhancing open innovation across the AI technology landscape. Many members of the AI Alliance are based in California or have a nexus to the state or its residents⏤and we are deeply concerned about the potential establishment of an anti-open-source precedent. The Alliance enables developers and researchers to accelerate responsible open innovation in AI while ensuring scientific rigor, trust, safety, security, diversity, and economic competitiveness. By bringing together this community, the AI Alliance pools resources, knowledge, and best practices to address safety concerns and provides a platform for sharing and developing solutions that benefit the whole AI ecosystem.

 

 Examples of AI Alliance contributions. AI Alliance members contribute to and rely on open AI models, with uses demonstrating the ways open models enhance innovation, economic productivity, safety, and security, while broadening access to AI. IBM, in partnership with NASA, has democratized the largest geospatial AI foundation model on Hugging Face. Stability AI is developing innovative, resource-efficient, open-access AI models. Snowflake is empowering businesses to build potent AI and machine learning applications from its enterprise data. SeedAI is crafting frameworks for co-creation, evaluation, and decision-making regarding AI technology and policies. Meta launched Llama 3, which has already been downloaded over 1 million times; over 600 derivative models have been uploaded to Hugging Face. Databricks is democratizing AI within the enterprise space, by helping thousands of organizations customize and deploy DBRX, Llama 3, and other opensource AI models for enterprise applications. ServiceNow, in collaboration with Hugging Face and the BigCode community of more than 1,200 members from 60+ countries, released its StarCoder family of models with the aim of introducing more responsibility and transparency in the development of large language models for code. AI Alliance member universities globally are leveraging open-source AI for scientific discovery, research, and innovation.

 

 

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