LawTech.Asia

Southeast Asia's foremost Law & Technology Review

Tag: Singapore Management University

Hacking Through the Gordian Knot – The LIT Hackathon 2019

Reading time: 9 minutes

Written by Josh Lee | Edited by Jennifer Lim, Wan Ding Yao

Introduction

It is a classic Gordian Knot. A legal industry that is highly risk-averse, and heavily reliant on precedents and traditional ways of work. Lawyers who are too occupied with work to generate innovative ideas, let alone implement them. Technology that is believed to be too inaccessible and alien to a profession that is beginning to struggle with disruption. All these, with the backdrop of rising costs, inefficiencies (and long hours), and barriers to access to justice.

The legal industry’s solution to this? The hackathon.

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The Future of Law Conference 2017: Charting the Converging Paths of Law and Technology

Reading time: 4 minutesWritten by Amelia Chew & Jerrold Soh

Editor’s note: This article was originally published on Singapore Law Blog. We would like to thank Singapore Law Blog for graciously allowing us to reproduce this article on this site for our readers.

Jointly organised by the Centre for Cross-Border Commercial Law in Asia at the Singapore Management University (SMU) School of Law and Osborne Clarke, the inaugural Future of Law Conference that took place from 26 to 27 October 2017 brought together leading academics and practitioners from around the world to tackle issues at the intersection of law and technology. This article provides but a snippet of the insights discussed at the conference.

The Relationship Between Humans & Artificial Intelligence

In his opening keynote speech, Professor Ian Kerr (University of Ottawa) spoke about the ethical and legal concerns surrounding delegating previously exclusively-human decisions to machines. Given that we are only at the stage of artificial narrow intelligence (ANI) at the moment, the concern is less about a dystopian future where robots may potentially overthrow humans and more about how we can manage the relationship between artificial intelligence (AI) and humans. As an increase in machine autonomy correlates with a decrease in human control, it is crucial to establish safeguards to deal with a situation where a machine demonstrates emergent behaviour.

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