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Alyssa Minjoot: Exploring and analysing South Korea’s approach to AI regulation

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On 26th December 2024

In Artificial Intelligence, Data Privacy, Policy, Regulations

Reading time: 18 minutes

Written by Alyssa Asha Minjoot | Edited by Josh Lee Kok Thong

LawTech.Asia is proud to collaborate with the Singapore Management University Yong Pung How School of Law’s LAW4060 AI Law, Policy and Ethics class. This collaborative special series is a collection featuring selected essays from students of the class. For the class’ final assessment, students were asked to choose from a range of practice-focused topics, such as writing a law reform paper on an AI-related topic, analysing jurisdictional approaches to AI regulation, or discussing whether such a thing as “AI law” existed. The collaboration is aimed at encouraging law students to analyse issues using the analytical frames taught in class, and apply them in practical scenarios combining law and policy.

This piece, written by Alyssa Minjoot, explores and analyses South Korea’s approach to AI regulation. It examines how South Korea has been able to take a forward-thinking, proactive and novel approach in formulating AI policies and guidance, while examining the need for clearer and more stringent AI regulations to deal with higher-risk AI systems.

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Delvine Tan: Exploring and analysing Japan’s approach to AI regulation

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On 25th December 2024

In Artificial Intelligence, Data Privacy, Policy, Regulations

Reading time: 17 minutes

Written by Delvine Tan Hui Tien | Edited by Josh Lee Kok Thong

LawTech.Asia is proud to collaborate with the Singapore Management University Yong Pung How School of Law’s LAW4060 AI Law, Policy and Ethics class. This collaborative special series is a collection featuring selected essays from students of the class. For the class’ final assessment, students were asked to choose from a range of practice-focused topics, such as writing a law reform paper on an AI-related topic, analysing jurisdictional approaches to AI regulation, or discussing whether such a thing as “AI law” existed. The collaboration is aimed at encouraging law students to analyse issues using the analytical frames taught in class, and apply them in practical scenarios combining law and policy.

This piece, written by Delvine Tan Hui Tien, explores and analyses Japan’s approach to AI regulation. It examines the principles, reasons and examples behind Japan’s approach to traditional AI and generative AI.

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Andrea Christine Suki: Law Reform Paper on Criminal Liability and Generative Artificial Intelligence

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On 20th November 2024

In Artificial Intelligence, Policy, Regulations

Reading time: 19 minutes

Written by Andrea Christine Suki | Edited by Josh Lee Kok Thong

LawTech.Asia is proud to collaborate with the Singapore Management University Yong Pung How School of Law’s LAW4060 AI Law, Policy and Ethics class. This collaborative special series is a collection featuring selected essays from students of the class. For the class’ final assessment, students were asked to choose from a range of practice-focused topics, such as writing a law reform paper on an AI-related topic, analysing jurisdictional approaches to AI regulation, or discussing whether such a thing as “AI law” existed. The collaboration is aimed at encouraging law students to analyse issues using the analytical frames taught in class, and apply them in practical scenarios combining law and policy.

This piece, written by Andrea Christine Suki, examines whether criminal law should evolve or adapt to mitigate a range of harms posed by generative AI, and seeks to provide recommendations where the existing criminal framework is found to be possibly inadequate.

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The Landscape of AI Regulation in the Asia-Pacific

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On 13th May 2024

In Artificial Intelligence, Policy, Regulations

Reading time: 32 minutes

Written by Alistair Simmons and Matthew Rostick | Edited by Josh Lee Kok Thong

Introduction

In recent months, many jurisdictions in the Asia-Pacific (“APAC”) have adopted or are considering various forms of AI governance mechanisms. At least 16 jurisdictions in APAC have begun some form of AI governance, and this number will likely continue to increase. This paper scans the different AI governance mechanisms across a number of APAC jurisdictions and offers some observations at the end. 

This paper segments AI governance mechanisms into four categories: Direct AI regulations are enforceable rules that regulate the development, deployment or use of AI directly as a technology, and consequently have regulatory impact across multiple sectors. Voluntary frameworks cover voluntary and non-binding guidance issued by governmental entities that directly address the development, deployment or use of AI as a technology. Indirect regulations (data & IP) are also enforceable legal rules but do not regulate the development, deployment or use of AI directly as a technology. They are rules of more general applicability that nevertheless have an impact on the development, deployment or use of AI. As the scope of this category is potentially broad, we have focused on data protection/privacy and intellectual property laws in this paper. Sector-specific measures refers to binding and non-binding rules and guidelines issued by sector regulators that are relevant to the development, deployment or use of AI in an industry. To avoid getting bogged down in the specifics of whether the rules and guidelines are technically binding or not, we have presented them together. Unlike the mechanisms addressed in the Sectoral Governance Mechanisms segment, the non-binding frameworks in this segment typically address the use of AI across multiple sectors.

For avoidance of doubt, this paper addresses legal governance mechanisms only. There may be other initiatives afoot to drive alignment and good practices from a technical perspective. We do not seek to address technical measures in this paper.

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TechLaw.Fest 2023: This Is What’s Next

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On 8th November 2023

In Access to Justice, Artificial Intelligence, Data Privacy, Events, Immersive Technology / Metaverse, Internet Governance, Law Firms, Lawyers, Legal Hackers, Legal Innovation, Policy, Regulations

Reading time: 12 minutes

Written by Hannah Loo Yuet Ying and Leong Tzi An (Zaine) | Edited by Josh Lee Kok Thong

The theme of this year’s TechLaw.Fest is ‘This is What’s Next”’. I thought this is very apt in the realm of law and technology. Both are forward-looking, and multi-faceted that we constantly, even in practice, ask ourselves ‘what’s next’.

Second Minister for Law and Minister for Community, Culture and Youth Edwin Tong S.C.
Opening Remarks at TechLaw.Fest 2023

Introduction

Since the last edition of TechLaw.Fest in 2022, technology has developed at a rapid pace. It is now trite to say that technology touches every aspect of our lives. It has transformed, and continues to transform, how people work, interact and, play. This is not only embodied in the rise of large language models (“LLMs”) and generative AI applications such as ChatGPT, but also questions about the future of cryptocurrency, immersive technologies, and online safety. Amidst rapid technological developments on multiple fronts, it is important to have robust conversations on the workings of these technologies and their impact – positive or negative – on people and society. 

As one of Asia’s largest law and technology conferences, TechLaw.Fest is an important forum bringing together industry leaders, government, legal professionals, technologists, academics, and civil society to have these robust conversations. As the first fully physical rendition of the event since 2019, TechLaw.Fest 2023 brought together thought leaders from various domains to answer “what’s next” in the vast field of law and technology. This article aims to bring a glimpse into the key insights and themes discussed across both days of Singapore’s signature law and technology conference.

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