Artificial Intelligence And Market Abuse Legislation

Artificial Intelligence and Market Abuse Legislation presents a wide-reaching interdisciplinary examination of the impact of AI on the EU Market Abuse Regulation (MAR).

This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.

An exploration of how financial market laws and regulations can - and should - govern the use of artificial intelligence.

This timely book provides an extensive overview and analysis of the law and regulation as it applies to the technology and uses of Artificial Intelligence (AI). It examines the human and ethical concerns associated with the technology, the history of AI and AI in commercial contexts.

This book provides a concise comparison of the regulation and enforcement of the anti-market abuse laws (insider trading and market manipulation) in South Africa, the United States of America (USA) and United Kingdom (UK). Bringing together a number of previously published articles, the book provides a novel discussion of the challenges associated with the enforcement of market abuse laws in both developing countries such as South Africa and developed ones such as the USA and the UK. This is primarily done to examine and expose the current strengths and weaknesses of market abuse laws in relation to certain aspects of the corporate, securities and financial markets environments in South Africa, the USA and the UK. Accordingly, chapters two to five of the book unpack the regulation and enforcement of market abuse laws in South Africa and the USA in a comparative perspective. Thereafter, chapters six to eight of the book discuss the regulation and enforcement of market abuse laws (Financial Markets Act 19 of 2012) and other related statutes in South Africa and the UK. The book proposes some measures that could be utilised to enhance the enforcement of anti-market laws in South Africa, USA and the UK. New market abuse-related challenges that occurred during the global financial crisis are also briefly discussed. The book further provides a relatively adequate overview of the comparative analysis of the regulation of market abuse in South Africa versus two key developed and respected jurisdictions, namely, the USA and the UK. Accordingly, it is hoped that the book can aid regulatory authorities, financial market participants, academics, students and other interested readers to understand market abuse offences and possible measures that could be employed to combat such offences.

The European Union regime for fighting market manipulation and insider trading – commonly referred to as market abuse – was significantly reshuffled in the wake of the financial crisis of 2007/2008 and new legal instruments to fight market abuse were eventually adopted in 2014. In this monograph the authors identify the association between the financial crisis and market abuse, critically consider the legislative, policy and enforcement responses in the European Union, and contrast them with the approaches adopted by the United States of America and the United Kingdom respectively. The aftermath of the financial crisis, ongoing security concerns and increased legislation and policy responses to the fight against irregularities and market failures demonstrate that we need to understand, in context, the regulatory responses taken in this area. Specifically, the book investigates how the regulatory responses have changed over time since the start of the financial crisis. Market Manipulation and Insider Trading places the fight against market abuse in the broader framework of the fight against white collar crime and also considers some associated questions in order to better understand the contemporary market abuse regime.

Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.

The convergence of Artificial Intelligence (AI) in blockchain creates one of the world’s most reliable technology-enabled decision-making systems that is virtually tamper-proof and provides solid insights and decisions. The integration of AI and Blockchain affects many aspects from food supply chain logistics and healthcare record sharing to media royalties and financial security. It is imperative that regulatory standards are emphasized in order to support positive outcomes from the integration of AI in blockchain technology. Regulatory Aspects of Artificial Intelligence on Blockchain provides relevant legal and security frameworks and the latest empirical research findings in blockchain and AI. Through the latest research and standards, the book identifies and offers solutions for overcoming legal consequences that pertain to the application of AI into the blockchain system, especially concerning the usage of smart contracts. The chapters, while investigating the legal and security issues associated with these applications, also include topics such as smart contacts, network vulnerability, cryptocurrency, machine learning, and more. This book is essential for technologists, security analysts, legal specialists, privacy and data security practitioners, IT consultants, standardization professionals, researchers, academicians, and students interested in blockchain and AI from a legal and security viewpoint.