Hub Events

A Primer on the Continuum of AI: From Closed to Open Source

On September 11th, the Hub hosted a briefing with Congressional staff on one of the most important debates in AI policy: open and closed-source AI. Our event explored how researchers and firms make choices along this continuum, and what those choices mean for data protection, innovation, competition, and trust in AI systems.

Webinar 52: AI as Governance

Wednesday, September 17 at 10:00AM EST

TrailsCon 2025: "AI at Work: Building and Evaluating Trust

Monday, February 3, and Tuesday, February 4 at 9:00am EST

Digital Sovereignty in the BRICS Countries

Friday, January 31, 10:00 – 11:00 AM EST

AI Snake Oil with Sayash Kapoor

Monday, November 19, 10:00 – 11:00 AM EST

Upcoming Event

For more than two decades, giant companies based in the US and China have dominated data-driven services. Today many of those same data giants including Google, Meta, and Microsoft, control much of the world’s development and deployment of AI. These companies are getting ever bigger and more powerful at the very time that AI has become ubiquitous. In a provocative new piece in Time, Asad Ramanzali argues that it is in America’s interest to break up these companies. But US antitrust policy is out of date and insufficient to meet the market challenges of the AI age. Moreover, Congress is often gridlocked and hence, unlikely to approve new antitrust laws. How can we ensure that US AI markets are equitable, efficient, and secure? Will these companies be more innovative and trustworthy if they face more competition?

Latest Events