Artificial Intelligence in Finance: Putting the Human in the Loop

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About the Key Contributors:

Douglas Arner, Kerry Holdings Professor in Law at The University of Hong

Douglas Arner, Kerry Holdings Professor in Law at The University of Hong

Douglas Arner is the Kerry Holdings Professor in Law at the University of Hong Kong and an expert on financial regulation, particularly the intersection between law, finance and technology. He is Faculty Director of HKU’s LLM in Compliance and Regulation and LLM in Corporate and Financial Law, a member of the Hong Kong Financial Services Development Council and a Senior Visiting Fellow of Melbourne Law School, University of Melbourne.

Ross Buckly, Professor at the University of New South Wales

Ross Buckly, Professor at the University of New South Wales

Ross is interested in the impact, and enabling regulation, of FinTech, RegTech and cryptocurrencies; and the rise of data and the many challenging issues its algorithmic analysis poses for society. His Laureate Fellowship from the Australian Research Council, 2020 to 2025, is a $2.6 million project to explore these issues. He also still researches occasionally in his former field of global macro-prudential and systemic financial regulation.

Brian W. Tang, Founder and Managing Director of ACMI

Brian W. Tang, Founder and Managing Director of ACMI

Brian W Tang is an innovator, educator and ecosystem builder who has worked in the confluence of law, technology and finance in Hong Kong, New York, Silicon Valley and Australia for more than two decades, combining extensive and credible global financial institutions experience, transactional and regulatory expertise and first-hand startup hustle.

Introduction to the Paper

Finance has become one of the most globalized and digitized sectors of the economy. It is also one of the most regulated of sectors, especially since the 2008 Global Financial Crisis. Globalization, digitization and money are propelling AI in finance forward at an ever increasing pace. This paper develops a regulatory roadmap for understanding and addressing the increasing role of AI in finance, focusing on human responsibility: the idea of “putting the human in the loop” in order in particular to address “black box” issues.


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