As LLMs become increasingly advanced, we will consider how they are reshaping the landscape of computational law, discussing the potential of integrating symbolic with neural AI.

The workshop will cover the merits of structured approaches in creating explainable models. We will explore how these methodologies can coexist with LLMs to enhance accuracy and ensure that their use for legal processes remain fair and interpretable.

A crucial segment of our workshop will focus on the generative capabilities of AI. With the ability of AI to generate sophisticated narratives and legal arguments, we must also consider thoroughly their potential risks and harms. This includes misuse of LLMs, data privacy concerns, and the need for accountable oversight.

After Megan's talk, representatives from CodeX and CCLAW will share updates on their work in this area and thoughts on the way ahead. 

SPEAKER

Dr. Megan Ma
Assistant Director, CodeX and Law, Science, Technology Program
Stanford Law School

Dr. Megan Ma is a Fellow and the Assistant Director of the Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX). Her research focuses on the translation of legal knowledge to code, considering its implications in contexts of human-machine interaction. She also teaches courses in computational law and insurance tech at the Law School.
 

Dr. Ma is also the Managing Editor of the MIT Computational Law Report and a Research Affiliate at Singapore Management University in their Centre for Computational Law. Megan received her PhD in Law at Sciences Po and was a lecturer there, having taught courses in Artificial Intelligence and Legal Reasoning, Legal Semantics, and Public Health Law and Policy. She has previously been a Visiting PhD at the University of Cambridge and Harvard Law School respectively.

MODERATOR

Assistant Professor Jerrold Soh
Deputy Director, Centre for Computational Law (CCLAW)
D.S. Lee Foundation Fellow