AI Experts Urge Congress to Keep Source Code Open

At Ai4, three of the world's most respected AI experts — Geoffrey Hinton, Fei-Fei Li, and Andrew Ng — debated regulation, open source access, and how America can compete as China advances in Asia. The forum, held in San Francisco on Monday, drew a packed audience of policymakers, academics and industry leaders.

The debate comes amid growing concern that advanced AI could outpace existing safety frameworks. In the past year, several high‑profile incidents involving AI‑generated misinformation and autonomous weapons have prompted calls for tighter oversight. At the same time, China’s government has announced a $100 billion AI strategy, while U.S. private firms have raised more than $20 billion in AI‑focused venture capital. Ai4 was created to bring together leading thinkers to shape a practical response.

Hinton argued that open‑source models are the safest way to expose AI systems to public scrutiny, citing the success of open‑source frameworks like TensorFlow. Li warned that without safeguards, open models could be repurposed for surveillance or weaponization, especially by authoritarian regimes. Ng called for a balanced policy that protects privacy and national security without stifling innovation. He suggested a bipartisan regulatory body that could set standards for data usage and model transparency. Attendees noted that the experts’ call for open collaboration could help keep the U.S. at the forefront of AI research while preventing a dangerous technology race.

The panel’s recommendations are already being drafted into a white paper that will be presented to Congress next month. The authors hope it will influence the upcoming AI bill, which lawmakers say could set the tone for global AI governance. If passed, the bill could mandate safety testing, enforce open‑source disclosure for high‑impact models, and create incentives for U.S. firms to compete with Chinese giants. The debate underscored that the future of AI will depend on how quickly the U.S. can align its innovation policy with robust safety