GenAI in Classrooms and Bridge Ratings

Agenda

• 6:30 PM - 7:00 PM: Registration & Networking
• 7:00 PM - 7:45 PM: Teaching with Trust – Dr. Raymond Chan
• 7:45 PM - 8:30 PM: Ratings for Bridge Players – Ang Shen Ting
• 8:30 PM - 9:00 PM: Q&A and Closing

Synopsis:
Teaching with Trust: Guiding GenAI Use in the Classroom *– By Dr. Raymond Chan, Genue.ai*
As generative AI becomes an everyday tool for students, educators are increasingly concerned with how to guide its use critically and safely. At Genue, we’ve developed a classroom platform that sits between students, teachers, and LLMs—capturing how AI is used during class activities and assessments and enabling teachers to see each student’s unique learning journey.
Drawing on pilots in Singapore and Indonesia, we show how teachers can use GenAI interaction data—not just the final answers—to understand where students struggle, when they seek help, and how AI assists them. We also introduce tools for moderating AI responses, flagging sensitive prompts, and benchmarking LLM safety using Singapore’s digital governance frameworks.

Ratings for Bridge Players: Driven by Data and LLMs – By Ang Shen Ting
Bridge is a complex game of incomplete information and partnership dynamics, but its traditional system for recognizing player ability—masterpoints—is a legacy reward system rather than a true skill rating. In this talk, Shen Ting explores how modern statistical modelling and machine learning tools can bring clarity and fairness to competitive bridge through a custom-built rating system, only the second of its kind after England's National Grading Scheme.
The session covers the full pipeline: from parsing XML tournament data and updating a SQL database, to deploying a live frontend using TypeScript and Next.js. It also examines how large language models accelerate development, and reflects on the risks and rewards of “vibe coding.”

Speaker Bios:

• Dr. Raymond Chan is an experienced AI specialist with a deep understanding of machine learning algorithms. He has successfully developed and implemented innovative solutions for a range of industries. Holding a doctorate from the University of Leipzig and the Max Planck Institute for Mathematics in the Sciences, Dr. Chan has gained extensive experience working with large (petabyte) datasets and developing predictive models in both Fortune 500 companies, such as SAP, and leading start-ups like Chope and Lazada. Combining his passion for AI and academics, he is now the co-founder and CEO of Genue, a startup dedicated to openly bringing AI into the classroom.
• Ang Shen Ting is Principal Data Scientist at INSEAD, with more than a decade of experience in the data industry, having previously worked in I2R, Govtech and Wecash. Previously, he read BSc MMORSE at the University of Warwick and also holds a MS in Computer Science from the University of California, San Diego. Shen Ting was also part of the team which placed 4th in the Shopee National Data Science Challenge in 2019. Shen Ting served as Competitions Secretary on the committee of the Singapore Contract Bridge Association from July 2019 to Oct 2023. He is also a qualified Asia-Pacific Bridge Federation International Tournament Director and recently directed at the Asia Pacific Bridge Federation Youth Championships in May 2025