Applying the Traditional Rules of Evidence in the Age of AI

Date: June 13, 2025 (Friday)

Time: 6:30pm – 7:30pm

Venue: Academic Conference Room, 11/F Cheng Yu Tung Tower, The University of Hong Kong

Speaker: Daniel Seng (Associate Professor, Faculty of Law, National University of Singapore)

The prevalence of records and information produced by AI to demonstrate an asserted fact will test the rules of evidence, especially the rules relating to relevance and admissibility. However, while the rules of evidence have been technologically agnostic and malleable, their application to AI evidence calls for a proper understanding of the interaction between the technical and engineering characteristics of AI and the objectives of the rules of evidence. This talk looks at some of these interactions and the legal and technical challenges associated with applying the hearsay, real evidence and authentication rules to recordative, descriptive, predictive and generative AI evidence. The talk reminds the reader of the importance of applying these rules in a robust manner to ensure the continued relevance and utility of evidence rules in modern society.

Daniel Seng teaches and researches on information technology law and infocommunications law. Between 2001 and 2003, he was concurrently the Director of Research, Technology Law Development Group at the Singapore Academy of Law. He graduated with firsts from NUS and Oxford, where he received the Rupert Cross Prize in 1994. He received his doctoral degree from Stanford Law School, where he used machine learning, natural language processing and big data techniques to conduct research on copyright takedown notices. While he was at Stanford, he was a non-residential fellow with the Center for Legal Infomatics (CodeX). Daniel was previously a partner and head of the technology practice at Messrs Rajah & Tann. He was amicus curiae to the Court of Appeal of Singapore in the case of Chwee Kin Keong & Ors v Digilandmall.com Pte Ltd, the leading Singapore case on unilateral mistake in the digital environment.

Moderator: Shilun Zhou, PhD student & Centre Fellow of Law and Technology Centre, The University of Hong Kong Faculty of Law

To register, please go to https://hkuems1.hku.hk/hkuems/ec_regform.aspx?guest=Y&UEID=100719.

We are applying for a CPD point with the Law Society of Hong Kong.

For inquiries, please contact Ms. Grace Chan at mcgrace@hku.hk / 3917 4727.