Return to Articles

Statement from AI Alliance Regarding Commerce's Final Report on Open-Weights Models

News
The AI Alliance

The AI Alliance welcomes the U.S. Department of Commerce and the National Telecommunications and Information Administration (NTIA) for its forward-thinking report, which recognizes the profound benefits of open foundation models for fostering innovation, economic growth, and AI safety. By embracing the principles of “a fair, open, and competitive ecosystem” outlined in Executive Order 14110, the Commerce Department has taken a crucial step towards ensuring that the U.S. remains at the forefront of AI development.

We are particularly encouraged by the report's conclusion that "the government should not restrict the wide availability of model weights for dual-use foundation models at this time. Instead, the U.S. government should actively monitor and maintain the capacity to quickly respond to specific risks across the foundation model ecosystem, by collecting evidence, evaluating that evidence, and then acting on those evaluations." This forward-thinking approach will help maximize the positive impact of AI technologies on a global scale.

As also highlighted by the AI Alliance’s response to the NTIA’s request for comment, we are heartened by the report's acknowledgment of the role of open foundation models in advancing scientific discovery and societal benefits. Furthermore, it wisely notes the economic benefits of democratizing access to AI technologies, enabling entrepreneurs and small businesses to thrive. Open foundation models like Granite, Llama, StarCoder, GHP-MOFassemble, ESM-Fold, and SemiKong demonstrate the transformative potential of open weights in accelerating research and driving innovation across various sectors.

We are also encouraged by the report's alignment with the FTC's recent statement on open model weights that concludes “open-weights models have the potential to drive innovation, reduce costs, increase consumer choice, and generally benefit the public – as has been seen with open-source software.” This underscores the value of an open ecosystem and importance of transparency, competition, and consumer choice in the AI marketplace. This holistic approach to AI policy will ensure that the United States can harness the full potential of AI while mitigating risks effectively.

The AI Alliance remains committed to supporting open innovation in AI and will continue to cultivate open source projects as well as advocate for policies that promote openness, safety, security, choice, and innovation of AI technologies. We look forward to engaging with policymakers and industry leaders to ensure that the full potential of AI is realized for the benefit of all.

Related Articles

View All

The AI Alliance: Our First Year

News

The AI Alliance launched last December with a mission to build, enable, and advocate for open innovation in AI globally. We’re well on our way! 

abstract gradient

AI Alliance Launches as an International Community of Leading Technology Developers, Researchers, and Adopters Collaborating Together to Advance Open, Safe, Responsible AI

News

IBM and Meta Launch the AI Alliance in collaboration with over 50 Founding Members and Collaborators globally including AMD, Anyscale, CERN, Cerebras, Cleveland Clinic, Cornell University, Dartmouth, Dell Technologies, EPFL, ETH, Hugging Face, Imperial College London, Intel, INSAIT, Linux Foundation, MLCommons, MOC Alliance operated by Boston University and Harvard University, NASA, NSF, Oracle, Partnership on AI, Red Hat, Roadzen, ServiceNow, Sony Group, Stability AI, University of California Berkeley, University of Illinois, University of Notre Dame, The University of Tokyo, Yale University and others

Trusted Evals RFP

Evaluation of Generative AI - What’s ultimately our goal?

News

The era of generative AI has ushered in new challenges and risks, which have completely changed the way we think about product development. With increasingly diverse ways to evaluate models, we learn both about emergent capabilities but also about the potential harms they bring. One of the major challenges as evaluations become more esoteric is that ways to collaborate are limited for experts in various fields that also intersect in generative AI.