ITI Urges White House to Boost AI R&D with Long-Term Investments, Cybersecurity Focus, and Global Collaboration

ITI Offers Strategic Recommendations to White House for 2025 AI R&D Plan

The Information Technology Industry Council (ITI) has submitted detailed recommendations to the White House Office of Science and Technology Policy (OSTP) in response to their request for information on the 2025 AI research and development strategic plan. These recommendations focus on strengthening U.S. leadership in AI by targeting key investment areas and collaborative efforts.

Prioritizing Long-Term AI Research Investments

ITI urges the federal government to emphasize sustained, long-term funding for AI research, including foundational science and developments specific to agentic AI. The council highlights the need for government-industry collaboration to create standards and protocols that enable secure and effective agent-to-agent communication. This includes developing secure design patterns and multiagent reference architectures to identify potential threats and manage risks related to autonomous AI systems.

Enhancing AI Cybersecurity Research

The recommendations call for targeted investments in AI cybersecurity research fields such as agentic AI, cyber defense, data analytics, fraud detection, adversarial machine learning, and privacy-preserving machine learning. ITI also supports advancing red-teaming efforts and exploring emerging security threats associated with AI platforms, aiming to build more resilient systems against sophisticated cyberattacks.

Additional Recommendations from ITI

• Advance AI system testing by supporting U.S. participation in international standards organizations and promoting adoption of the AI Risk Management Framework.
• Invest in multidisciplinary education and training programs to cultivate the next generation of AI professionals.
• Foster international collaboration through initiatives like the International Network of AI Safety Institutes to accelerate AI R&D.
• Increase investment in advanced computing infrastructure, including support for the National AI Research Resource, to facilitate AI innovation.

These targeted actions are intended to ensure that AI development in the U.S. remains secure, safe, and aligned with national priorities. For professionals interested in expanding their AI expertise, resources such as Complete AI Training’s latest AI courses offer practical learning opportunities.