Artificial Intelligence Priorities for the Next Administration
Generative artificial intelligence (AI) has rapidly transformed industries, positioning American companies at the forefront of innovation. However, global competitors, particularly China, are closing the gap, presenting challenges to the United States’ economic and national security.
U.S. Leadership in AI
The U.S. leads the AI sector across key areas, including cutting-edge AI models, private sector innovation, and hardware development. Major players like Nvidia, AMD, and Intel dominate semiconductor technologies essential for AI. However, reliance on Taiwan for manufacturing and the energy-intensive nature of AI models pose significant risks. Addressing these challenges and crafting balanced regulations are critical to sustaining U.S. leadership.
Federal Government’s Role in AI Development
Over the past decade, federal agencies have embraced AI, appointing chief AI officers, implementing usage guidelines, and establishing initiatives like the AI Safety Institute. This institution has adapted risk frameworks from the National Institute of Standards and Technology, enabling voluntary AI assessments with major tech companies. Similarly, the National Science Foundation supports research through the National Artificial Intelligence Research Resource Pilot, fostering innovation across academia and industry.
As the incoming administration shifts its focus to accelerating AI growth, it faces the dual responsibility of mitigating risks while ensuring global competitiveness.
Existing Legal Frameworks for AI
Despite the lack of comprehensive AI legislation, existing laws like the CHIPS and Science Act of 2022 indirectly support AI advancements by bolstering semiconductor manufacturing. Key provisions in the annual National Defense Authorization Acts have also advanced AI-related research. However, bipartisan divides on content moderation, equity, and economic impacts have stalled broader regulatory efforts, leaving the executive branch to lead AI governance.
AI Regulation at the State and Global Levels
State initiatives, such as California’s laws protecting digital likenesses and regulating AI-generated content, demonstrate localized efforts to address AI challenges. However, the absence of a federal framework risks a fragmented legal landscape that could stifle innovation.
Internationally, the U.S. has championed initiatives like the G7 Hiroshima AI process and the Council of Europe’s AI Framework, fostering transparency, accountability, and alignment with democratic values.
Recommendations for the Next Administration
1. Establish an AI Safety Commission
A federal AI Commission, modeled after the National Highway Traffic Safety Administration, could oversee safety regulations, inspect AI systems, and enforce penalties for non-compliance. This approach would incentivize better quality control while ensuring public trust.
2. Expand University AI Investments
Currently, universities lack the resources to compete with private tech giants in AI research. By increasing funding for federal labs and academic institutions, the administration can diversify innovation sources and train the next generation of AI professionals.
3. Align AI and Energy Policies
AI’s rapid growth demands vast computing power, straining energy resources. To mitigate this, the government should:
- Streamline energy-related regulations.
- Incentivize grid modernization.
- Support advanced nuclear projects to ensure sustainable energy capacity.
Conclusion
The rapid evolution of AI requires strategic policies to balance innovation with safety, sustain U.S. leadership, and address societal challenges. By prioritizing collaboration between government, academia, and the private sector, the next administration can shape a robust AI ecosystem that drives economic growth and national security.