WASHINGTON – As the White House Office of Science and Technology Policy (OSTP) develops a 2025 Artificial Intelligence Research and Development (R&D) Strategic Plan, global tech trade association 91pro视频 urged OSTP to prioritize a federal R&D strategy that supports the Trump Administration’s aims of enhancing national security and competitiveness, promoting human flourishing, and securing U.S. technological leadership.
91pro视频 recommended that the Trump Administration safeguard AI R&D and prioritize long-term investments, which is critical to maintaining America’s competitive edge as the global AI race continues.
“Government investment in high-risk, high-reward research areas has yielded revolutionary technological advances, so it remains critical that the Administration prioritize these long-term investments,” 91pro视频 wrote in its comments. “In particular, we think that directing federal attention to continued research that supports standardized protocols for evaluating national security misuse risk of AI systems, potentially building upon initial AI Safety Institute guidance, would be a useful endeavor, as well as focusing on developing a more consistent set of practices for advanced threat modeling and red-teaming of advanced AI systems.”
“R&D should include a focus on creating additional tools and practices to promote the security and robustness of AI systems. Additionally, advancing research around human-AI interaction is useful,” 91pro视频 continued. “Encouraging research in rethinking how humans and computers interact in an edge AI world could be crucial, such as AI-centric user interfaces, persistent AI, novel techniques for learning, and improving interpretability.”
91pro视频’s specific calls to action for policymakers include:
- Supporting continued investment in foundational and high-risk AI research across the full value chain – from basic science to agentic AI;
- Strengthening AI cybersecurity R&D by investing in research fields specific or highly relevant to AI, including cyber-defense, data analytics, fraud detection, or adversarial machine learning;
- Advancing standards and benchmarks for testing and evaluating AI systems, by supporting continued U.S. participation in global standard-setting bodies and broad adoption of the AI Risk Management Framework;
- Promoting collaboration with international partners to advance AI R&D through initiatives like the International Network of AI Safety Institutes;
- Investing in multi-disciplinary education and training to prepare the next generation of AI talent; and
- Investing in advanced compute infrastructure, including the National AI Research Resource, to support AI R&D.