Trustworthy AI for Code Industry Roundtable
A curated gathering of leaders from industry and academia for a day of invited talks, sharp discussion, and agenda-setting conversations in New York City.
A curated gathering of leaders from industry and academia for a day of invited talks, sharp discussion, and agenda-setting conversations in New York City.
The goal is to develop a shared understanding of trustworthy AI for code, including open technical challenges, evaluation criteria, and concrete opportunities for collaboration across research and practice.
Identify the most important unsolved problems and align on high-impact research directions.
Discuss meaningful criteria for trustworthiness, usefulness, and deployment readiness.
Lay the groundwork for an ongoing forum and potential joint publication on this topic.
The roundtable is co-organized by researchers at Columbia University and the National University of Singapore with deep expertise in software engineering and AI reliability.
Professor, National University of Singapore
School of Computing
Associate Professor, Columbia University
Department of Computer Science
We are excited to have the following speakers confirmed for the roundtable. The agenda will be updated as additional speakers are confirmed.
Engineering Manager, Google
Senior Staff Software Engineer, Google
Assistant Professor, Harvard University
John A. Paulson School of Engineering and Applied Sciences
Princeton University
Princeton Language and Intelligence
Professor, University of California, Berkeley
Computer Sciences Division
A structured day of talks, discussion, and synthesis designed to move from perspective sharing toward a concrete collaborative agenda.
Participants come from leading universities and technology companies working on AI for software engineering.



This list will be updated as confirmations are finalized.
The first edition of this roundtable, held in Singapore in January 2026, brought together more than 30 leaders from industry and academia to discuss trustworthy AI for code.