AI and Big Data

Disruptive Regulation

Elgar Studies in Law and Regulation

Mark Findlay, Professorial Research Fellow, Centre for AI and Data Governance, Yong Pung How School of Law, Singapore Management University, Singapore, Josephine Seah, PhD Candidate, University of Cambridge, UK and Affiliate, Centre for AI and Data Governance and Willow Wong, Research Associate, Centre for AI and Data Governance, Singapore Management University

This provocative and timely book identifies and disrupts the conventional regulation and governance discourses concerning AI and big data. It suggests that, instead of being used as tools for exclusionist commercial markets, AI and big data can be employed in governing digital transformation for social good.

‘Based on wisely selected case studies, the authors offer a compelling reframing of the orthodox tech-and-regulation relationship. They build a strong case that AI is more than a regulatory target: “Distruptive Regulation” uses technology to protect and advance the interests of vulnerable stakeholders instead of serving those in power.’
– Urs Gasser, Technical University of Munich, Germany

‘If you're looking for a thought-provoking read on governing AI and big data, then I highly recommend checking out this book. Using real-life examples, the authors offer a new approach to regulation that empowers people and promotes trust and data responsibility. The authors also provide practical pathways to advance digital self-determination and to promote fairness, and non-discrimination in how we use AI. Overall, the book challenges conventional thinking and is a must-read for anyone interested in technology and its impact on our society.’
——Stefaan g . Verhulst, New York University, US