Ethan Rourke

Ethan Rourke is the Research & Policy Analyst at AI News Grid, where he covers AI regulation, safety research, algorithmic accountability, and the intersection of technology policy with public interest.

Before joining AI News Grid, Ethan spent three years as a policy researcher at the Brookings Institution's Center for Technology Innovation, where he authored working papers on AI governance frameworks, automated decision-making in public services, and the regulatory implications of foundation models. His analysis of the EU AI Act's risk classification system became one of the most-cited Brookings tech policy papers of 2023.

Ethan holds a Juris Doctor from Georgetown University Law Center, where he concentrated in technology law and served as an editor of the Georgetown Law Technology Review. He also holds a Bachelor of Arts in Philosophy and Political Science from Boston College.

During law school, Ethan clerked at the Federal Trade Commission's Bureau of Consumer Protection, focusing on algorithmic fairness complaints and deceptive AI marketing practices. This experience shaped his approach to covering AI policy: rigorous, evidence-based, and focused on real-world consumer impact.

At AI News Grid, Ethan translates dense regulatory documents, research papers, and policy proposals into actionable analysis for professionals who need to understand how governance decisions affect their work. He also maintains the publication's tracker of global AI legislation and executive orders.