Daniel Kiat Boon Seng (Director, Centre for Technology, Robotics, AI and the Law, Faculty of Law, National University of Singapore) has posted 'To Admit or Not to Admit': That is the Question for AI Evidence Essays in Honour of Professor Tan Yock Lin (2025) on SSRN. Here is the abstract:
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 essay 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 essay 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.