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Refining, not reinventing, the wheel: A look at the applicability of ASEAN’s AI governance guides in Southeast Asian contexts

Reading time: 5 minutes

Written by Eunice Huang and Josh Lee Kok Thong

Artificial intelligence (“AI”) is reshaping industries, economies, and societies worldwide. Governments across the Association of Southeast Asian Nations (“ASEAN”) intuitively understand the huge opportunity that AI can bring for their societies, and are looking for ways to foster AI innovation while carefully managing risks and challenges. At the same time, there is also growing recognition that it would be neither appropriate nor sufficient to mimic the AI regulatory approaches adopted by other jurisdictions such as the EU, China and US. Countries in ASEAN can and must chart their own regulatory pathway that is suited to Southeast Asia’s unique context, building on the region’s historically open and pro-innovation posture.       

This article submits that ASEAN governments already have good, context-adapted regional resources they can use as a basis for their domestic AI governance frameworks. In particular, resources such as the ASEAN Guide on AI Governance and Ethics (February 2024) and the Expanded ASEAN Guide on AI Governance and Ethics on Generative AI (January 2025) (collectively, the “ASEAN Guides”) can serve as valuable reference points for ASEAN governments who are considering their AI governance options. These guides provide a contextually-relevant basis for formulating AI governance in Southeast Asia’s unique context. Drawing reference from these guides will also help promote greater interoperability and common standards across ASEAN. This will in turn enable AI innovation to flourish across the region, boosting ASEAN’s overall competitiveness, and advancing      the ASEAN Economic Community.      

Deng Haiying: The challenges and impact of generative AI on copyright law

Reading time: 16 minutes

Written by Deng Haiying | 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 Deng Haiying, seeks to tackle challenges that generative AI brings to copyright law. In doing so, Haiying’s paper explores the current state of the law in Singapore on generative AI and copyright, factors to be taken into account when exploring regulatory reforms in this area, and possible regulatory solutions to tackle the copyright challenges posed by generative AI.

Joel Ko: Copyright ownership for AI-generated material

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.

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

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.

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

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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