Artificial Intelligence in Finance

Hardback

Artificial Intelligence in Finance

Challenges, Opportunities and Regulatory Developments

9781803926162 Edward Elgar Publishing
Edited by Nydia Remolina, Assistant Professor of Law and Head of the Research Group on Fintech, Centre for AI and Data Governance, Singapore Management University and Aurelio Gurrea-Martinez, Associate Professor of Law, Singapore Management University, Singapore
Publication Date: April 2023 ISBN: 978 1 80392 616 2 Extent: c 410 pp
This book provides a comprehensive analysis of the primary challenges, opportunities and regulatory developments associated with the use of artificial intelligence (AI) in the financial sector. It will show that, while AI has the potential to promote a more inclusive and competitive financial system, the increasing use of AI may bring certain risks and regulatory challenges that need to be addressed by regulators and policymakers.

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This book provides a comprehensive analysis of the primary challenges, opportunities and regulatory developments associated with the use of artificial intelligence (AI) in the financial sector. It will show that, while AI has the potential to promote a more inclusive and competitive financial system, the increasing use of AI may bring certain risks and regulatory challenges that need to be addressed by regulators and policymakers.

After analysing the technological foundations of AI, the book focuses on the use and regulatory challenges of AI in the banking, capital markets and insurance industries. It also analyses, compares and assesses the different strategies and international approaches that have been adopted to address the challenges raised by the use of AI. The book concludes by providing a holistic and cross-sectoral analysis of the use of AI in the financial sector.

The comprehensive, interdisciplinary, and industry-relevant approach adopted in Artificial Intelligence in Finance will provide students, practitioners and academics interested in financial markets with a broad understanding of the challenges and opportunities of AI in the financial sector. Additionally, the comparative and policy-oriented approach also adopted in the book will provide regulators and policymakers with innovative ideas and regulatory solutions that will help them address some of the most critical challenges associated with a new data-driven financial system.
Contributors
Contributors include: Nikita Aggarwal, Douglas W. Arner, Alessio Azzutti, Marcus Bartley-Johns, Ross P. Buckley, Nicolas Chapados, Christopher Chao-hung Chen, Alfonso Delgado De Molina Rius, William Dunning, Joy Fuyono, Aurelio Gurrea-Martínez, Larissa Lim, Magdalene Loh, Dominique Payette, Maayan Perel, Ruth Plato-Shinar, Nydia Remolina, Wolf-Georg Ringe, Lucien J. van Romburg, Dennae Smith, Terence Soo, H. Siegfried Stiehl, Brian W. Tang, Minesh Tanna, Virginia Torrie, Wai Yee Wan, Dirk A. Zetzsche, Richard Zuroff, Yeong Zee Kin
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