RegTech compliance tools for charities in the United Kingdom: can machine learning help lighten the regulatory burden?

Singh, C., Lin, W., Singh, S. P. and Ye, Z. (2022) RegTech compliance tools for charities in the United Kingdom: can machine learning help lighten the regulatory burden? Company Lawyer, 43 (1). pp. 3-11. ISSN 0144-1027

Abstract/Summary

Machine learning has had a major impact on banking, law and other sectors. The speed with which the technology has developed to undertake complex and technical tasks as well as those that are both time consuming and that are subject to constantly changing parameters is astounding. The purpose of this article is to explore whether machine learning can be used as a potential solution to lighten the compliance and regulatory burden on charitable organisations in the United Kingdom; to facilitate regulatory compliance with legal duties and for the development of a coherent streamlined action plan for future technological investment. The question is approached through the analysis of data, literature, and domestic and international regulation. Part one of the article summarises the current regulatory obligations faced by charities, these are then, in part two, set against the potential technological solutions provided by machine learning as of August 2021. The recommendation is that charities can utilise machine learning as a smart technological solution, this will aid them to meet the regulatory challenges and comply with the law and/or rules. This work is original because it explores whether the various forms of machine learning can assist charities in meeting their regulatory compliance obligations.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/109839
Refereed	Yes
Divisions	No Reading authors. Back catalogue items Arts, Humanities and Social Science > School of Law
Publisher	Sweet and Maxwell
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