US Should Help Hospitals and Universities Build AI | Opinion
Summary
The article argues that U.S. public agencies should fund shared AI research projects that help hospitals and universities use computing resources and collaborate while keeping control of their data. It proposes using the National Science Foundation’s new AI research center to test such projects, with agreements and safeguards for costs, access, data privacy, and accountability.Key Facts
- Stanford University’s 2026 AI Index found that companies produced more than 90 percent of the notable advanced AI models it tracked for 2025.
- The National Science Foundation announced an operations center for its National Artificial Intelligence Research Resource in September.
- The center will coordinate access to computing power, data, models, and other research tools.
- The article says universities could make available unused research-computing capacity for other teams’ AI work.
- Federated learning lets hospitals train a shared model using records that remain inside each hospital’s systems.
- The National Institute of Standards and Technology has documented risks that attackers could recover training-data details from updates or a trained model.
- The article recommends agreements that specify costs, each partner’s benefits, data safeguards, and what happens if a participant withdraws.
Read the Full Article
This is a fact-based summary from The Actual News. Click below to read the complete story directly from the original source.
