US Should Help Hospitals and Universities Build AI | Opinion

Résumé détaillé

Companies have the resources to build the most demanding computer systems. Universities and hospitals bring a different strength.

A hospital may have years of records that could help researchers study a rare condition, yet have good reasons to keep those records inside its own systems. A university may have the team to lead that research but lack the computing power to run it.

Both should have a way to help develop artificial intelligence on terms they can verify.

As public agencies invest in AI research, I believe they should fund projects that let institutions pool computing power and learn from one another’s data while retaining control over what they contribute.

Stanford University’s 2026 AI Index found that companies produced more than 90 percent of the notable advanced AI models it tracked for 2025. Companies have the resources to build some of the most demanding systems. Universities and hospitals bring a different strength.

They know which questions matter in a lab or on a hospital ward, and they can help test whether a model works outside the setting where it was developed. Access to the tools for building and testing models gives those institutions more say in which problems AI addresses.

There is a timely opening to widen that access. In September, the National Science Foundation announced an operations center for its National Artificial Intelligence Research Resource.

The center will coordinate access to computing power, data, models, and other research tools. That gives the agency a place to test how institutions can contribute resources as well as draw on them. A university might offer time on its research computers when capacity is available, allowing another team to use that time to test a model it has already built.

An agreement should spell out what each partner gets back, whether that means computing time, access to the resulting model, or a share of the research funding.

The same principle applies to data. Imagine several hospitals studying a rare complication. Each may see too few cases to build a model on its own.

Début de l'article, extrait de Newsweek. Pour lire la suite, ouvrez l'article chez le média.