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Artificial Intelligence in Finance: Challenges, Opportunities and Regulatory Developments

Artificial Intelligence in Finance: Challenges, Opportunities and Regulatory Developments

  • 作者:
  • 出版商: Edward Elgar Publishing
  • ISBN: 9781803926162
  • 出版时间 April 2023
  • 规格: Hardback
  • 适应领域: U.K. ? 免责申明:
    Countri(es) stated herein are used as reference only

List Price: ¥1,527.50

¥1,481.68 Save ¥45.83 (3%)

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  • 描述 
  • 大纲 
  • 详细

    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.

  • Introduction xvii

    PART I. FOUNDATIONS OF AI AND AI GOVERNANCE
    1.
    Foundations of artificial intelligence and machine learning 2
    Alfonso Delgado De Molina Rius
    2.
    Explaining explainable AI 19
    Richard Zuroff and Nicolas Chapados
    3.
    Harmony in chaos 60
    Yeong Zee Kin and Larissa Lim
    4.
    Responsible AI 87
    Marcus Bartley Johns, Joy Fuyuno and Dennae Smith

    PART II. OPPORTUNITIES AND REGULATORY CHALLENGES OF AI IN THE BANKING INDUSTRY
    5.
    AI governance frameworks for the banking sector 114
    Virginia Torrie and Dominique Payette
    6.
    Machine learning, alternative data, and the regulation of consumer credit markets 142
    Nikita Aggarwal
    7.
    AI-based consumer credit underwriting 151
    Maayan Perel and Ruth Plato-Shinar

    PART III. OPPORTUNITIES AND REGULATORY CHALLENGES OF AI IN CAPITAL MARKETS
    8.
    The promises and perils of robo-advisers 178
    Aurelio Gurrea-Martinez and Wai Yee Wan
    9.
    Regulating AI trading from an AI lifecycle perspective 198
    Alessio Azzutti, Wolf-Georg Ringe and H. Siegfried Stiehl

    PART IV. OPPORTUNITIES AND REGULATORY CHALLENGES OF AI IN THE INSURANCE INDUSTRY
    10.
    Opportunities and use cases of AI in the insurance industry 244
    Magdalene Loh and Terence Soo
    11.
    Regulation of the use of artificial intelligence for investment in the insurance industry 271
    Christopher Chao-hung Chen

    PART V. CROSS-SECTORAL ISSUES ON THE USE OF AI IN THE FINANCIAL SECTOR
    12.
    Regulating artificial intelligence in finance and other regulated industries 294
    Douglas W. Arner, Ross P. Buckley, Dirk A. Zetzsche,
    Brian W. Tang and Lucien J. van Romburg
    13.
    Bias and discrimination in the use of AI in the financial sector 320
    Minesh Tanna and William Dunning
    14.
    Interconnectedness and financial stability in the era of artificial intelligence 350
    Nydia Remolina

    Index 368

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