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Home Artificial Intelligence

MITRE Responds to AI Action Plan RFI With 4 Recommendations

by Jane Edwards
May 7, 2025
in Artificial Intelligence, Government Technology, News
MITRE Responds to AI Action Plan RFI With 4 Recommendations

MITRE has provided four recommendations in response to the Office of Science and Technology Policy’s request for information on the development of an artificial intelligence action plan, which will outline policy actions to sustain and improve U.S. superiority in AI.

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  • Accelerate AI Innovation With Public-Private Partnerships
  • RFI on AI Action Plan

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The nonprofit company said Tuesday the four recommendation areas are accelerating AI innovation with public-private partnerships; lowering adoption barriers so that AI can be leveraged to transform industries; securing American AI; and building the American workforce to drive and harness AI innovation opportunities.

Accelerate AI Innovation With Public-Private Partnerships

To speed up AI innovation, MITRE said it believes it is essential to invest in large-scale compute and data resources that are key for training and deploying advanced AI models. 

According to the company, federal frontier labs could serve as a “cornerstone” of public-private partnerships in AI and should focus on three key areas: open science, defense and intelligence.

To further advance AI innovation, MITRE highlighted the need to collect high-quality datasets and implement mission engineering as a structured approach to address the gap between the mission demand perspective and the technology impact perspective.

RFI on AI Action Plan

On behalf of OSTP, the National Science Foundation solicited public feedback in early February to help inform the development of the AI action plan in accordance with an executive order signed by President Trump in late January.

OSTP sought responses that address AI-related policy topics, including data centers, hardware and chips, open source development, energy consumption and efficiency, model development, explainability and assurance of AI model outputs, and cybersecurity.

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