President Donald Trump’s recent executive order on artificial intelligence introduces new federal guidelines requiring government oversight of new advanced AI models prior to their wider release and deployment. The order reflects growing concern over the national security and cybersecurity implications of increasingly capable AI models while seeking to preserve U.S. leadership in AI innovation.
Rice University experts are available to discuss the executive order’s implications for AI governance, national security and health care innovation.
Kenneth Evans is a fellow in science, technology and innovation policy at Rice’s Baker Institute for Public Policy. He can speak to:
- how this order fits into the historical context of U.S. federal oversight of emerging technologies.
- the implications for national security and the protection of critical U.S. research.
- how the new classified benchmarking process could affect open-source AI research and academic institutions.
Pothik Chatterjee is executive director of the Houston Methodist-Rice Digital Health Institute. He can speak to:
- why health care systems and clinical AI should be considered part of the nation’s critical infrastructure and what that means for AI oversight.
- the balance between AI safety reviews and innovation, particularly when delays in deploying digital health tools can affect patient care and health care operations.
- the growing need for a specialized workforce capable of evaluating advanced AI models in complex health care environments and the role of academic-medical partnerships in developing that talent.
To schedule an interview with any of Rice’s experts, contact media relations specialists Avery Franklin at ar119@rice.edu or Silvia Cernea Clark at sc220@rice.edu.