AI Policy Summer School seeks to build pipeline of AI experts to fill emerging needs
Cornell's Watson School of International and Public Affairs is running an AI Policy Summer School aimed at training the next generation of professionals to work on artificial intelligence governance and related policy challenges. The program is designed to address a growing gap between AI's rapid development and the number of people qualified to shape rules around it.
Why this matters: The people who write AI rules matter as much as the rules themselves. Right now there are not enough of them, and the ones who exist are often outnumbered by the industry they are supposed to oversee. Programs like this one are trying to close that gap. Who gets trained, who funds the training, and what assumptions they carry into policy jobs will shape how AI regulation actually works in practice. The pipeline is not a technical problem. It is a power problem.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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