The president’s AI action plan, slated to release this summer, will clarify how the U.S. intends to balance speed and safety within the U.S. AI framework. The current risk-tolerant, decentralized model has been great for speed and innovation, however China’s hybrid model of centralized safety and decentralized regulation, has the country catching up with the U.S. The U.S. lacks comprehensive federal AI legislation, with the recent House AI Task Force recommending the use of existing laws, regulations, and regulatory bodies to develop sector-specific AI regulations. Further national risk mitigation may be necessary for LLMs and other more complex uses of AI. The growing dissonance between the U.S., the EU and China, on a consensus for AI safety is hazardous. Should the U.S. wish to maintain leadership in AI development while ensuring safety and public trust, finding a balance will be key.
The Uncertain Future of AI Regulation in a Second Trump Term • Stimson Center
