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Category: Policy Page 1 of 13

Joel Ko: Copyright ownership for AI-generated material

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On 19th January 2025

In Artificial Intelligence, Policy, Regulations

Reading time: 30 minutes

Written by Joel Ko Chin Kye | 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” exists. 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 Joel Ko, argues that it is important for laws to be developed to accommodate the interplay of generative AI and copyright law. In doing so, Joel studies whether copyright can subsist in works purely generated by generative AI be treated; and whether we should allow works derived from AI-generated content to be copyrightable, particular in situations where there is sufficient human editorial control.

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Kaelynn Kok: Reassessing the balance between creator’s rights and innovation in the age of generative AI

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On 19th January 2025

In Artificial Intelligence, Policy, Regulations

Reading time: 29 minutes

Written by Kaelynn Kok Chu Shuen | 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” exists. 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 Kaelynn Kok, considers several legal issues around the use of copyrighted material in generative AI training. These include: (a) the appropriate balance Singapore should strike between protecting the rights of creators and supporting AI innovation; (b) whether Singapore’s existing copyright defences are applicable to protect AI developers from copyright infringement claims; and (c) the best approach for Singapore to take.

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Terry Ng: Is there such a thing as AI law?

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On 10th January 2025

In Artificial Intelligence, Data Privacy, Policy, Regulations

Reading time: 18 minutes

Written by Terry Ng Tian Yu | 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” exists. 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 Terry Ng, argues that “AI law” as a body of law exists. In doing so, Terry studies the emergence of “hard” AI laws around the world, existing laws that apply to AI and the relevance of “soft” AI law initiatives.

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Brendan Tan: Is there such a thing as AI law?

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On 6th January 2025

In Artificial Intelligence, Data Privacy, Internet Governance, Policy, Regulations

Reading time: 20 minutes

Written by Brendan Tan Liang En | 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” exists. 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 Brendan Tan, argues that “AI law” as a body of law exists. In doing so, Brendan explores how “AI law” should be defined, and develops reasons on why “AI law” can be seen as a legitimate social construct.

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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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