Refocusing the National AI R&D Strategic Plan to Deliver Results for Americans
The 2025 National AI R&D Strategic Plan focuses on advancing AI capabilities, linking design to performance, and improving data quality. These priorities aim to boost practical benefits for the public.
Comments on the 2025 National AI R&D Strategic Plan
The Office of Science and Technology Policy (OSTP) has called for input on the development of the 2025 National Artificial Intelligence (AI) Research and Development (R&D) Strategic Plan. This plan, originally introduced during the Obama administration, updated under Trump, and expanded by Biden, reflects the evolving priorities of the U.S. government regarding AI technology.
With the prospect of a new administration, there is a clear opportunity to sharpen the focus on delivering tangible benefits to the American public through AI advancements.
Key Recommendations for the 2025 AI R&D Plan
The following three priorities are proposed to guide federal AI research and development efforts effectively:
- Make unlocking AI the central goal: Focus federal AI R&D on understanding and expanding the fundamental capabilities of AI technologies. This approach aims to break through current limitations and open new possibilities for application and innovation.
- Link technical design to system performance: Prioritize research that connects how AI systems are built to their real-world outcomes. This ensures that development efforts translate into practical, measurable improvements in AI effectiveness and reliability.
- Invest in data quality and quantity: Support initiatives to generate higher-quality and more diverse datasets. Enhanced data resources are critical for training AI models that perform better across a wider range of scenarios.
These recommendations emphasize practical steps to ensure federal AI research supports meaningful progress and public benefit.
For those involved in IT and development, staying informed about these priorities is essential. Aligning projects with these goals can position teams to better leverage federal research efforts and funding opportunities.
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