
AI in Asia
Machine learning and AI tools increasingly permeate vast areas of political, economic, and social life. The use of AI systems can enable efficiency and productivity gains but is also beset by a range of complex problems and challenges. Developing strategies to align AI development and deployment trajectories with social justice is thus an urgent policy priority.
But, much of the scholarship on AI governance is based primarily on the experiences of a few western industrialised economies. Regulation trajectories and governance frameworks are shaped by political and cultural contexts, and hence values, assumptions and goals underlining the pursuit of AI governance are bound to have local flavours.
This collection brings together eleven scholars from Asia to help unpack perspectives on AI governance from South and South-East Asia.
Chapters
- Socio-Material Steering of AI Innovation and Governance by Urvashi Aneja
- The Beginnings of AI and Data Governance: The Landscape in Sri Lanka by Ramathi Bandaranayake
- To what extent does Malaysia’s national fourth industrial revolution policy address AI security risks by Jun-E Tan
- An ill-advised turn: AI under India’s E-Courts proposal by Vidushi Marda
- Chinese AI governance in transition: Past, present and future of Chinese AI regulation by Julia Chen
- The myth of data driven authoritarianism in Asia by Cindy Lin and Yuchen Chen
- Kampong Ethics by Mark Findlay and Willow Wong
- Between threat and tool: the poetics and politics of AI metaphors and narratives in China by Maya Indira Ganesh and Jennifer Bourne
Machine learning and AI tools increasingly permeate vast areas of political, economic, and social life. The use of AI systems can enable efficiency and productivity gains but is also beset by a range of complex problems and challenges. Developing strategies to align AI development and deployment trajectories with social justice is thus an urgent policy priority.
But, much of the scholarship on AI governance is based primarily on the experiences of a few western industrialised economies. Regulation trajectories and governance frameworks are shaped by political and cultural contexts, and hence values, assumptions and goals underlining the pursuit of AI governance are bound to have local flavours.
This collection brings together eleven scholars from Asia to help unpack perspectives on AI governance from South and South-East Asia.
Chapters
- Socio-Material Steering of AI Innovation and Governance by Urvashi Aneja
- The Beginnings of AI and Data Governance: The Landscape in Sri Lanka by Ramathi Bandaranayake
- To what extent does Malaysia’s national fourth industrial revolution policy address AI security risks by Jun-E Tan
- An ill-advised turn: AI under India’s E-Courts proposal by Vidushi Marda
- Chinese AI governance in transition: Past, present and future of Chinese AI regulation by Julia Chen
- The myth of data driven authoritarianism in Asia by Cindy Lin and Yuchen Chen
- Kampong Ethics by Mark Findlay and Willow Wong
- Between threat and tool: the poetics and politics of AI metaphors and narratives in China by Maya Indira Ganesh and Jennifer Bourne
AI in Asia
This project brought together eleven of Asia’s leading scholars to explore regional perspectives on the ethics and governance of Artificial Intelligence.