Tag: ai Page 3 of 4

The Use, Issues and Policies of Legal Technology for Lawyers and In-House Counsel

On 21st February 2021

In Artificial Intelligence, Automation, Contracts, Cybersecurity, Data Privacy, Interviews, Law Firms, Lawyers, Legal Innovation, Policy, Regulations

Reading time: 19 minutes

Written by Johanna Lim Ziyun (Associate Author) | Mentored by Nisha Rajoo | Reviewed by Edmund Koh

LawTech.Asia is proud to have commenced the third run of its popular Associate Author (2020) Programme. The aim of the Associate Authorship Programme is to develop the knowledge and exposure of student writers in the domains of law and technology, while providing them with mentorship from LawTech.Asia’s writers and tailored guidance from a respected industry mentor.

In partnership with the National University of Singapore’s alt+law and Singapore Management University’s Legal Innovation and Technology Club, five students were selected as Associate Authors. This piece, written by Johanna Lim and reviewed by industry reviewer Edmund Koh (China Telecom Asia Pacific), marks the third thought piece in this series. It scans the landscape of lawyers and technology, and sets out steps that lawyers should take to meet a future technologically-driven paradigm.

The Future of Artificial Intelligence and Intellectual Property Rights

By Josh Lee

On 21st December 2020

In Artificial Intelligence, Policy, Regulations

Reading time: 12 minutes

Written by Samuel Chan Zheng Wen (Associate Author) | Mentored by Lenon Ong | Reviewed by Associate Professor Saw Cheng Lim

In partnership with the National University of Singapore’s alt+law and Singapore Management University’s Legal Innovation and Technology Club, five students were selected as Associate Authors. This piece by Samuel Chan, reviewed by industry reviewer Associate Professor Saw Cheng Lim (Singapore Management University School of Law), marks the first thought piece in this series. It examines the future of artificial general intelligence and intellectual property rights.

The Epistemic Challenge Facing the Regulation of AI: LRD Colloquium Vol. 1 (2020/07)

By Josh Lee

On 14th December 2020

In Access to Justice, Artificial Intelligence, Internet Governance, Lawyers, Legal Innovation, Policy, Regulations

Reading time: 25 minutes

Written by Josh Lee^* and Tristan Koh^**

Editor’s note: This article was first published by the Law Society of Singapore as part of its Legal Research and Development Colloquium 2020. It has been re-published with the permission of the Law Society of Singapore and the article’s authors. Slight adaptations and reformatting changes have been made for readability.

ABSTRACT

The increased interest in artificial intelligence (‘AI’) regulation stems from increased awareness about its risks. This suggests the need for a regulatory structure to preserve safety and public trust in AI. A key challenge, however, is the epistemic challenge. This paper posits that to effectively regulate the development and use of AI (in particular, deep learning systems), policymakers need a deep understanding of the technical underpinnings of AI technologies and the ethical and legal issues arising from its adoption. Given that AI technologies will impact many sectors, the paper also explores the challenges of applying AI technologies in the legal industry as an example of industry-specific epistemic challenges. This paper also suggests possible solutions: the need for interdisciplinary knowledge, the introduction of baseline training in technology for legal practitioners and the creation of a corps of allied legal professionals specialising in the implementation of AI.

TechLaw.Fest 2020 Quick Chats: Dr Ian Walden, Professor of Information and Communications Law at Queen Mary University of London; Director of Centre for Commercial Law Studies

By Josh Lee

On 3rd September 2020

In Artificial Intelligence, Interviews, Policy, Regulations

Reading time: 8 minutes

Interview by Josh Lee, Lenon Ong and Elizaveta Shesterneva | Edited by Josh Lee

TechLaw.Fest 2020 (“TLF”) will take place online from 28 September – 2 October 2020, becoming the virtual focal point for leading thinkers, leaders and pioneers in law and technology. In the weeks leading up to TLF, the LawTech.Asia team will be bringing you regular interviews and shout-outs covering some of TLF’s most prominent speakers and the topics they will be speaking about.

This week, LawTech.Asia received the exclusive opportunity to interview Dr Ian Walden, Professor of Information and Communications Law and Queen Mary University of London and the Director of the Centre for Commercial Law Studies. Ian will be speaking at a panel on “Global Perspectives on Tackling AI Governance” on the second day of TLF (29 September 2020).

LawTech.Asia’s Response to Public Consultation on Model AI Governance Framework

By Jennifer Lim

On 7th July 2019

In Artificial Intelligence, Law Firms, Legal Innovation, Policy, Regulations

Reading time: 2 minutes

On 23 January 2019, the Personal Data Protection Commission (i.e. the Info-comm Media Development Authority) (the “PDPC”) published its Model Artificial Intelligence Governance Framework (“Model Framework”). The PDPC also launched a public consultation to receive feedback on the Model Framework.

As an organisation committed to thought leadership in law and technology (with AI regulation a key area of focus), LawTech.Asia produced a response to the public consultation on 24 June 2019.

LawTech.Asia’s response comprised the following two sections:

A framework tailored for the implementation of the Model Framework to the legal technology sectors. Tapping on LawTech.Asia’s familiarity with the legal and legal technology sectors, LawTech.Asia produced a customised framework tailored specifically for the implementation of the Model Framework to the legal technology industry. We hope that this customised framework may shed some light in allowing legal technology firms deploying AI to have greater guidance in aligning their practices with some of the implementation guidelines set out in the Model Framework.
Comments and feedback on each specific section covered by the Model Framework. These sections are, namely: the overall principles set out in the Model Framework, internal governance measures, determination of the AI decision-making model, operations management, and customer relations management. Tying our comments together is the thread that the Model Framework could go further in elaborating on some of the guidelines that it had set out, as well as to set out more specifically the ends that the Model Framework is targeted at achieving.

Our response may be downloaded for reference here:

Response to Public Consultation for Proposed Model Framework Download

In closing, we emphasise that the views set out within our response are wholly independent. They do not represent the views of any other organisation save for LawTech.Asia.

LawTech.Asia is also grateful to our partner and friend, Ms Shazade Jameson from the World Data Project, for her guidance and assistance in the preparation of our response.

The LawTech.Asia Team