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Purpose: Artificial intelligence has had a major impact on organisations from Banking through to Law Firms. The rate at which technology has developed in terms of tasks that are complex, technical and time consuming has been astounding. The purpose of this article is to explore the solutions that AI, RegTech and CharityTech provide to charities in navigating the vast amount of anti-money laundering and counter-terror finance legislation in the United Kingdom; so that they comply with the requirements and mitigate the potential risk they face but also develop a more coherent and streamlined set of actions. Design/methodology/approach: The subject is approached through the analysis of data, literature and, domestic and international regulation. The first part of the article explores the current obligations and risks charities face, these are then, in the second part, set against the examination of potential technological solutions as at August 2020. Findings: It is suggested that charities underestimate the importance of the nature and size of the threat posed to them, this is significant, as demonstrated, given the growing size and impact of the sector. Technological solutions are suggested to combat the issues charities face. Originality: The work is original because it is the first to create the notion of CharityTech, and to specifically explore what technological advances can assist charities in meeting the regulatory compliance challenge.

RegTech (short for Regulatory technology or regulation technology) simply put, is the use of technology to enhance compliance with regulations. As RegTech has developed, some have been quick to define RegTech as something for the financial sector, because it gained prominence with its use in the financial industry. It is true that RegTech gained prominence when it found success in the financial industry and became an important part of FinTech. However, RegTech is its own separate field within technology, which is simply the extrapolation of the ideas around automating compliance and providing insight, and can be applied to many different areas of compliance. Essentially, as long as you have regulations or rules, you can use regulation technology to streamline and ensure compliance. RegTech, or regulation/regulatory technology is simply using technology to apply the vast sets of rules and regulations that an area of law imposes, to company practices, creating checks and balances. RegTech can therefore be applied to many different areas of compliance with regulations. This article explores RegTech as a stand-alone field, and then explores possibilities of how RegTech can intersect with regulatory compliance specifically for environmental regulation and compliance, applying RegTech to environmental compliance, permitting, within the United States Environmental Protection Agency (EPA). I am proposing that RegTech should be adopted, based on the requirement for agencies to use the Best Available Technology, including the EPA. Finally, I believe for this to be implemented, it must be a concerted effort between industry, the legislature, and agencies like the EPA. Organizations who educate congress on the importance of technology like this also play an important role.

Celem niniejszego artykuł jest omówienie rozwiązań technologii regulacyjnych (RegTech) w procesie optymalizacji kosztów compliance. Tematyka RegTech jest obecnie słabo rozpoznana w literaturze krajowej, jak również zagranicznej. W artykule rozważania zostały oparte na analizie prawno-ekonomicznej ze wskazaniem na finansowy wymiar konsekwencji nieprzestrzegania prawa przez zobowiązane do tego podmioty. Przeanalizowano najważniejsze źródła wzrostu kosztów compliance – problematykę inflacji prawa, rozwój nowych technologii (FinTech) oraz zjawisko shadow banking. Podjęto próbę zdefiniowania segmentu RegTech oraz wskazano na główne obszary działalności instytucji finansowych mogących stać się przedmiotem zainteresowania ze strony spółek RegTech.

Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; List of figures; List of tables; Foreword; Preface; Glossary; PART I: Digital finance and financial services; 1. Introduction; Notes; Bibliography; 2. FinTech, InsurTech, PropTech, and RegTech; FinTech; InsurTech; PropTech (or CRE Tech); RegTech; Disruptors, innovators, and aggregators/disintermediators; Valuing digital start-ups; Case study: Google and the European Commission; Case study: The merger of AT&T and Time Warner; Microfinance, microinsurance, and microproperty; Notes; Bibliography; 3. Big data

The main areas of use of regulatory (RegTech) and supervisory (SupTech) technologies on the financial market are summarized, their main advantages and risks are highlighted. Foreign and domestic experience in the application of supervisory technologies is analyzed, in particular, in the context of reporting management, prevention and counteraction to money laundering, data collection and processing for market analysis. The use of an "accelerator" as a SupTech tool is noted. Most SupTech initiatives and projects are still under development and are mainly related to reporting and data management. Regulators of developed countries were the first to create regulatory "sandboxes". Given that the "sandboxes" require a significant financial contribution and sometimes changes to legislation, regulators promote the formation of mainly innovation centers rather than "sandboxes". The tendencies of development of regulatory technologies are generalized. An analytical review of the global RegTech market shows the trend of steady growth in investment in RegTech, namely the number of transactions of more than $ 40 million, with a surge in 2019, which was due to increased investment in information security and changes in EU regulations on data protection. Areas in which the development of SupTech and RegTech may face key challenges are identified, namely infrastructure (financial resources, technical capacity, staff qualifications) and the legal framework. It is substantiated that regulatory and supervisory technologies are transforming the financial services industry, providing opportunities and challenges for central banks and financial institutions.

Th e issue of the regulation of artifi cial intelligence (AI) is one of the signifi cant challenges faced by the EU at present. Most researchers focus on the substantive scope of AI regulation, including state law, ethical norms and soft law. In addition to the substantive and legal scope of the regulation, it is worthwhile considering the manner of such regulation.1 Since AI is an algorithmic code, it seems correct to regulate (restrict) AI not so much with traditional law established in natural (human) language as with one implemented into algorithms. Th ey may operate as a tool supporting traditional legislation (RegTech), but it is possible to go further with the issue and create regulation algorithms which implement the law as the eff ective law. However, this requires a new approach to law and legislation – the law as algorithmic code.

1. Introduction -- 2. General Observations -- 3. FinTech and Market-based Financing -- 4. European Approaches to FinTech: The Role of Regulation and the Evolution of Supervision -- 5. FinTech, Chain Transactions and Open Banking -- 6. FinTech Firms -- 7. FinTech and Money -- 8. FinTech, RegTech and SupTech Towards a New market Structure -- 9. Conclusions.