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Abstract
Artificial intelligence (AI) is becoming an increasingly relevant compliance tool for regulated financial firms. Advances in computing power, data analytics and additional regulatory reporting requirements mean that potentially AI can be expanded into even more compliance areas. This paper relies on 2017 research demonstrating the ability of AI algorithms in a supervised learning environment to predict the importance of UK statutory instruments. It argues that this research is analogous to the technical requirements for regulatory tracking, impact assessment, and change management in a regulated control environment. Furthermore, it provides that such algorithms can be effectively utilised by regulated financial firms to provide an automated regulatory compliance, impact assessment and change management compliance tool.
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Author's Biography
Adedayo Banwo is a lawyer for a large, global financial institution in London where he has worked in a variety of legal and compliance roles. Adedayo is former regulator and also Co-Chair of the American Bar Association Task Force on Financial Engineering for Economic Development, which advises regulators in emerging markets and multilateral institutions on building effective infrastructure for capital markets. Adedayo is a member of the Council on Foreign Relations.