12 Mapping the State of the Art

Artificial Intelligence for Decision Making in Financial Crime

DOI: 10.1201/9781003319887-12

Borja Álvarez Martínez, Richard Allmendinger, Hadi Akbarzadeh Khorshidi, Theodore Papamarkou, Andre Feitas, Johanne Trippas, Markos Zachariadis, Nicholas Lord, and Katie Benson

CONTENTS

  1. Introduction
  2. Methodology of the Systematic Review
  3. AI and ML in Financial Crime: Tracing the Development
    1. The First Research Boom: 2018-2020
    2. Refining the Applications: 2021-2022
  4. Discussion: Trends and Key Issues in AI and Financial Crime
  5. Conclusions and Recommendations
    1. Acknowledgements

INTRODUCTION

“Financial crime” is a broad term that includes a wide range of different offences, including money laundering, terrorism financing, ...

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