Programming with Trust
Date: Jan 19, 2026
Large Language Models (LLMs) have shown surprising proficiency in generating code snippets, promising to automate large parts of software engineering via artificial intelligence (AI). We argue that successfully deploying AI software engineers requires a level of trust equal to or even greater than the trust established by human-driven software engineering practices. The recent trend toward LLM agents offers a path toward integrating the power of LLMs to create new code with the power of analysis tools to increase trust in the code.
This event is a one-day, invite-only industry roundtable on AI-driven innovation for code, taking place in Singapore on the day before AAAI 2026. Bringing together leading participants from industry and academia worldwide, the discussion aims to distill key insights and guidelines on how to achieve trustworthy AI for code.
The event has concluded successfully!
We have published a detailed summary of the discussions and insights from the
roundtable on Medium
Follow-up Roundtable in New York City, June 2026
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Professor
Queen's University Canada
Distinguished Engineer & Head Client Engineering
IBM Asia Pacific
Principal Scientist
AWS
Dy Director
Ministry of Defence (Singapore)
Principal Scientist, Technical Professional Leader
Carnegie Mellon University & NASA Ames Research Center
Professor
Imperial College London
Chief Data Scientist
SAP Artificial Intelligence
OUB Chair Professor
Singapore Management University
CEO, Co-Founder
ELGO AI
PhD Student, Co-Founder AutoCodeRover
National University of Singapore
Chief Growth Officer
Sonar
Director (Core Engineering Products)
GovTech Singapore
Postdoctoral Researcher
National University of Singapore
Director, Cloud Engineering
Oracle
Lead Software Engineer
MoHT Singapore
Vice President and Managing Director
Sonar
Professor
Massachusetts Institute of Technology
Applied Science Director
AWS
Head
TCS Pace Port Singapore
Principal Scientist
Tata Consultancy Services
Principal Research Scientist
Sonar
Principal Engineer
ML for Developer Productivity, Google
Chief Scientist
NCS
Senior Applied Scientist
AWS AI Labs
Senior Vice President (Innovation and Enterprise)
National University of Singapore
Postdoctoral Researcher
National University of Singapore
Engineering Leader - Search and AI
Atlassian
Chief Technology Officer (CTO)
Starhub
Qiushi Distinguished Professor
Zhejiang University
Deputy Director - Architecture and Development
MoHT Singapore
PhD Student, Co-Founder AutoCodeRover
National University of Singapore
Distinguished Engineer
Apple
Address: 3A Research Link, Singapore 119392
Building: COM4, Level 2
Room: COM4-02-01
By Car: The nearest visitor car parks to COM4 are Carpark 11 and Carpark 11B.
By Taxi: Please alight at COM2 (15 Computing Dr, Singapore 117418) and follow the signage to COM4.
By Public Transport: The nearest MRT station is CC24 Kent Ridge. From Bus Stop 18339 (opposite Kent Ridge Station Exit A), take the NUS Internal Shuttle Bus D2, alight at the COM3 bus stop and follow the signage to COM4.
Download our comprehensive event brochure for detailed information about sessions, speakers, and registration details.
Download Brochure (PDF)June 3, 2026
IBM Manhattan Office
More Info soon
Host
National University of Singapore
Supporting Partner
Infocomm Media Development Authority
