Artificial intelligence is often discussed in extremes: either as a purely technical challenge to be solved by better models, or as a societal risk to be managed through regulation and ethics frameworks. In practice, however, AI lives in the space between these two worlds. Over the past several years, my work has focused on exactly that intersection, where machine learning meets policy, institutions, and governance, and on what we gain when we stop treating them as separate d

Originally published  on Project Syndicate on October 22, 2025. Disregarding ethical considerations in the name of AI innovation – the direction taken by the US – is a recipe for disaster. But pretending that lofty ethical principles will solve the real governance challenges AI raises is similarly misguided. WASHINGTON, DC – The biggest governance dilemma in AI is setting guidelines for the technology’s ethical use without unduly weakening the incentive to innovate. So far, c

Grand pronouncements about artificial intelligence appear daily: AI will produce autocrats and demolish democracies . Algorithms are...

Event held: February 3rd, 2023 at George Mason University, learn more here. More than 150 faculty representing George Mason University’s...

Jesse Kirkpatrick, Co-Investigator Like many in our nation’s capital, our blog took a vacation in August. The last several weeks have...

June Team Member Blog Featured in the AI Strategies Newsletter

Here's another press release by the Department of Defense about our project grant. Click here to see the full article.

Here's a story about our project grant published in George Mason University's News. Click here to see the full article.