News
Building a Website in Just a Few Minutes
August 19, 2026
Prof. John Helveston and PhD candidate Pingfan Hu recently hosted an “Agentic Workflows with Claude Code” workshop to empower members of the GW community to code responsibly using AI agents.
TRAILS Awards Over $515K for Trustworthy AI Research
August 5, 2026
TRAILS has awarded just over $515,000 to multidisciplinary teams from UMD, GW, Morgan State University, and Cornell University to support trustworthy AI research.
Announcing the Next Phase of AI at GW
August 3, 2026
GW TAI Faculty Director Zoe Szajnfarber will be stepping down to take on a new university-level position as the Special Advisor to the GW President and Provost on Artificial Intelligence.
Three GW Graduates Publish Paper on Detecting Bias in GPT Models
The team of GW alumni developed a framework that can be used by financial institutions to help safeguard against biased and unethical decisions.
July 21, 2026
Three recent graduates of the GW School of Business published a paper on detecting bias in GPT models, informed by a responsible machine learning course taught by Professor Patrick Hall.
GW Announces Transformation of Trustworthy AI
April 24, 2026
GW TAI has been identified as the first major research thrust aligned with GW’s new strategic framework.
GW TAI Professor Jessica Tillipman Featured on FCPA Compliance Report Podcast
April 1, 2026
In this episode, Tom Fox welcomes Jessica Tillipman, Associate Dean for Government Procurement Law Studies; Government Contracts Advisory Council Distinguished Professorial Lecturer in Government Contracts Law, Practice & Policy, for a conversation on federal procurement and compliance.
TRAILSCon 2026 Looks to the Future of AI
March 24, 2026
At TRAILSCon 2026, an interdisciplinary cadre of AI experts came together to assess challenges and opportunities in the field.
TRAILS Announces Broader Impact Awards to Empower Trustworthy AI Leaders
March 12, 2026
TRAILS has announced 11 Broader Impact Awards designed to expand access, participation, and understanding of trustworthy artificial intelligence.
New Research Aims to Curb Deception in AI Systems
February 26, 2026
Professor Shi Feng leads research on the role of human supervision in AI systems to ensure a future of trustworthy AI systems.