Category: Artificial Intelligence Page 7 of 13

TechLaw.Fest 2020 Quick Chats: Mary Shen O’Caroll, President of Corporate Legal Operations Consortium; Director of Legal Operations, Technology and Strategy for Google

On 1st September 2020

In Artificial Intelligence, Automation, Events, Interviews, Law Firms, Lawyers, Legal Innovation, People

Reading time: 4 minutes

Interview by Josh Lee, Tristan Koh and Ong Chin Ngee| 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 Mary Shen O’Carroll, President of the Corporate Legal Operations Consortium (“CLOC”) and the Director of Legal Operations, Technology and Strategy for Google. Mary will be kicking off TLF as a speaker in the first Leaders Fireside Chat: Skills at Scale and the Legal Function.

LawTech.Asia: Media Partner for TechLaw.Fest 2020!

By Josh Lee

On 6th August 2020

In Access to Justice, Artificial Intelligence, Automation, Blockchain, Contracts, Cybersecurity, Data Privacy, Dispute Resolution, E-Discovery, Events, Internet Governance, Interviews, Law Firms, Lawyers, Legal Hackers, Legal Innovation, People, Policy, Regulations, Smart Contracts

Reading time: 2 minutes

We are proud to be recognised by the Singapore Academy of Law as an official media partner for TechLaw.Fest 2020!

TechLaw.Fest 2020 (held from 28 September to 2 October 2020) is a signature convention in Singapore that will be the focal point for leading thinkers, leaders and pioneers in law and technology.

TechLaw.Fest 2019 – Charting the Course of Disruption in Law and Technology

By Josh Lee

On 4th June 2020

In Access to Justice, Artificial Intelligence, Automation, Blockchain, Contracts, Data Privacy, Dispute Resolution, Events, Internet Governance, Law Firms, Lawyers, Legal Hackers, Legal Innovation, Legal Technology in Singapore, People, Policy, Regulations, Smart Contracts

Reading time: 9 minutes

By Lenon Ong, Sanjana Ayagari, Elizaveta Shesterneva | Edited by Josh Lee

As part of our strategic media partnership with the Singapore Academy of Law, LawTech.Asia once again has the privilege of being appointed as media partner for TechLaw.Fest 2020. As the programme line-up for TechLaw.Fest 2020 begins to take shape, LawTech.Asia brings our readers back to TechLaw.Fest 2019 to provide a timely recap on all that happened, as we look forward to what is shaping up to be a momentous and memorable TechLaw.Fest 2020.

In its second year in this form as a large-scale conference, TechLaw.Fest 2019 was held on 5 and 6 September 2019, and saw over 1,500 legal professionals, technologists, entrepreneurs and regulators converge to engage in critical conversations about the future of technology law and of the legal industry.

Given the numerous conferences, exhibitions, pitches, launches and meetings all happening over 48 hours of adrenaline and excitement, this article aims to share some of the key themes and memorable moments that emerged across both days of Singapore’s (and arguably Asia’s) signature law and technology conference.

The entrance to TechLaw.Fest, just before the start of an adrenaline-fuelled two days.

Legal Tech-ing Our Way to Justice

By Josh Lee

On 10th May 2020

In Access to Justice, Artificial Intelligence, Cybersecurity, Dispute Resolution, E-Discovery, Law Firms, Lawyers, Legal Innovation, Legal Research, Online Dispute Resolution

Reading time: 10 minutes

Written by Jasmine Ng (Associate Author) | Mentored by Andrew Wong | Reviewed by Yap Jia Qing

LawTech.Asia is proud to conclude the second run of its Associate Author (Winter 2019) 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 well-respected industry mentor.

As part of a 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 Jasmine Ng, reviewed by industry reviewer Yap Jia Qing (Founder, Emerging Tech Policy Forum), marks the first thought piece for this season. It examines how legal technology can be better used in Singapore to improve access to justice.

Introduction

From the ubiquitous presence of virtual assistants like Amazon’s Alexa and Apple’s Siri, to the achievements of Google’s DeepMind technologies on facial recognition and machine learning, Artificial Intelligence (“AI”) and other data-based technology are a growing part of everyone’s lives. Technological advancement has also made a huge impact on the legal industry. In his speech at the Opening of the Legal Year 2019,^[1] Singapore’s Chief Justice, Sundaresh Menon CJ, recognised technology as a key driving force of the seismic changes to the legal industry’s operating environment.

With this changing landscape in mind, the Singapore Judiciary has taken steps to maintain Singapore’s position as a progressive, adaptive and forward-looking judiciary.^[2] Digitalisation is now a key pillar of Singapore’s legal system transformation efforts, which is in line with the Digital Government Blueprint in support of the Smart Nation initiative.^[3]These developments are to be welcomed, as they tackle concerns about access to justice (which have been increasing in the wake of rising inequality). With this context in mind, I will analyse how technology is being used in our legal industry, and how the benefits of legal technology can be better harnessed to improve access to justice.

The Epistemic Challenges Facing the Regulation of AI

By Josh Lee

On 30th December 2019

In Artificial Intelligence, Policy, Regulations

Reading time: 8 minutes

Written by Tristan Koh and Josh Lee

The regulation of artificial intelligence (“AI”) has been a hot topic in recent years. This may stem from increased societal awareness of: (a) the possibilities that AI may deliver across various domains; and (b) the risks that the implementation of AI may cause (e.g., the risk of bias, discrimination, and the loss of human autonomy). These risks, in particular, have led renowned thought leaders to claims that AI technologies are “vastly more risky than North Korea” and could be the “worst event in the history of our civilisation”.

A key challenge facing any policymaker creating regulations for AI (or, for that matter, any new technology), however, is the epistemic (i.e., knowledge-based) challenge – policymakers must have domain knowledge in order to be able to sufficiently appreciate the scope, size, degree and impact of any regulation, and be able to propose solutions that are effective and pragmatic.^[1] In fact, it has been recognised in some governments that subject-matter expertise is lacking when policies or regulations are being crafted.^[2] To effectively regulate the development and use of AI, it is clear that policymakers and regulators will need to possess a deep understanding of AI technology and its technical underpinnings.

While a full exposition of AI technology in this short article would not be possible, this article sets out some of the key technical features that policymakers and regulators should consider in the regulation of AI. In particular, this piece focuses on neural networks, a key element in modern AI systems.