June 3, 2026 · New York City
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.
Trustworthy AI for Code
Columbia University × National University of Singapore
Hosted in NYC by
Local hosts welcoming the roundtable to New York City
About the roundtable
What this roundtable aims to produce
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.
Shared agenda
Identify the most important unsolved problems and align on high-impact research directions.
Evaluation framework
Discuss meaningful criteria for trustworthiness, usefulness, and deployment readiness.
Community building
Lay the groundwork for an ongoing forum and potential joint publication on this topic.
Leadership
Organizers
The roundtable is co-organized by researchers at Columbia University, the National University of Singapore, and IBM Research Lab NYC with deep expertise in software engineering and AI reliability.
Abhik Roychoudhury
Professor, National University of Singapore
School of Computing
Baishakhi Ray
Associate Professor, Columbia University
Department of Computer Science
On the ground in NYC
Local Organizer
Eugene Wu
Associate Professor, Columbia University
DAP Lab, Department of Computer Science
Maja Vukovic
IBM Fellow
IBM Research, T.J. Watson Research Center
Xuan Liu
Director, AI for Code
IBM Research, T.J. Watson Research Center
Invited speakers
Keynote speakers
We are honored to have the following keynote speakers confirmed for the roundtable.
Maja Vukovic
IBM Fellow
IBM Research, T.J. Watson Research Center
Xuan Liu
Director, AI for Code
IBM Research, T.J. Watson Research Center
Franjo Ivancic
Engineering Manager, Google