The Information Technology Industry Council, or ITI, has provided the White House Office of Science and Technology Policy, or OSTP, with several recommendations to strengthen artificial intelligence research and development efforts.
ITI said Thursday the recommendations are in response to OSTP’s request for information as it develops a 2025 AI R&D strategic plan.
Prioritizing Long-Term Investments in AI Research
The global tech trade association recommended that the Trump administration prioritize long-term investments in AI research.
The U.S. government should also support investment in R&D efforts across the AI value chain, including in basic science, and invest in research specific to agentic AI.
To advance agentic AI, it is imperative for the government to work with industry to advance the development of standards and protocols for agent-to-agent communication, build secure design patterns for agentic systems and create additional multiagent reference architectures to establish a mechanism for identifying threats and contextualizing agentic risks.
Supporting Investment in Research Fields Specific to AI Cybersecurity
According to the trade group, the U.S. government should invest in research areas that are highly relevant to AI, including agentic AI to address complex cybersecurity problems; cyber defense; data analytics; fraud detection; adversarial machine learning; and privacy preserving machine learning.
ITI also called on the government to support ongoing research into red-teaming and security threats related to AI platforms.
ITI’s Other Calls to Action
ITI recommended that the current administration advance standards and benchmarks for testing AI systems by backing continued U.S. participation in international standards bodies and adoption of the AI Risk Management Framework.
Other recommendations outlined in the association’s response are investing in multidisciplinary education and training to prepare the next generation of AI talent; fostering collaboration with international partners to advance AI R&D through initiatives like the International Network of AI Safety Institutes; and investing in advanced compute infrastructure, including the National AI Research Resource, to support AI R&D.
