News & Events
News
GW Engineering's New AI Academy Helps Faculty Build AI Fluency
January 26, 2026
GW Engineering Professor Lorena A. Barba has launched the GW Engineering AI Academy to support faculty in developing AI capabilities that can be applied directly to their teaching and research.
GW TAI’s Oxbridge Lunches Foster Interdisciplinary Discourse and Collaboration
January 9, 2026
In the fall, GW TAI hosted two “Oxbridge” lunches, inspired by the tradition of intellectual discourse among scholars from wildly different disciplines.
GW School of Business Appoints Its First Chief AI Officer
November 24, 2025
GW School of Business and GW TAI Professor Patrick Hall has been appointed GWSB's first Chief AI Officer.
GW TAI Researcher Chung Hyuk Park Designs Robots for Autistic Adults in Manufacturing
November 18, 2025
Chung Hyuk Park is park of a team working to increase autistic employment and develop collaborative robots, or “cobots,” that can help these individuals thrive in manufacturing careers.
GW Business Forum Highlighted How AI Is Transforming Workforce, Future of Leadership
October 31, 2025
The third annual Business Forum brought industry leaders and experts, including GW TAI researchers, to share their insights on the evolving workforce.
GW TAI Hosts Critical Conversations on Relationship Between Systems Engineering and AI
October 22, 2025
The sixth AI4SE & SE4AI was hosted in September by GW’s Trustworthy AI Initiative (TAI).
GW TAI Professor Susan Ariel Aaronson Interviewed by CGTN America
October 7, 2025
Aaronson talked to CGTN America about how we should govern AI globally.
GW TAI Professor Robert Brauneis Discusses Fair Use in AI Training on Podcast
September 23, 2025
Brauneis was interviewed on The AI Arena: Skate to the Puck podcast, sharing insights on what is considered "transformative" regarding fair use in AI training.
Summer Incubator Challenges PhD Fellows to Address Real-World Interdisciplinary Problems
August 25, 2025
Nine PhD fellows from four disciplines spent their summer exploring how to harness interdisciplinary knowledge and trustworthy AI to solve real-world problems.