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Efforts to launder money and finance terrorism have been evolving rapidly in recent years in response to heightened countermeasures. The international community has witnessed the use of increasingly sophisticated methods to move illicit funds through financial systems across the globe and has acknowledged the need for improved multilateral cooperation to fight these criminal activities. The World Bank and International Monetary Fund have developed this guide to help countries understand the new international standards. It will hopefully serve as a comprehensive source of practical information for countries to fight money laundering and terrorist financing. It discusses the problems caused by these crimes, the specific actions countries need to take to address them, and the role international organizations, such as the Bank and the IMF, play in the process. This guide is a tool for countries to establish and improve their legal and institutional frameworks and their preventive measures according to international standards and best practices. -- From Foreword (p. ix).
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.