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Author: Graham Russell
Publisher: Bloomsbury Publishing
ISBN: 1509918604
Category : Law
Languages : en
Pages : 505
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Book Description
This ground-breaking book addresses the challenge of regulatory delivery, defined as the way that regulatory agencies operate in practice to achieve the intended outcomes of regulation. Regulatory reform is moving beyond the design of regulation to address what good regulatory delivery looks like. The challenge in practice is to operate a regulatory regime that is both appropriate and effective. Questions of how regulations are received and applied by those whose behaviour they seek to control, and the way they are enforced, are vital in securing desired regulatory outcomes. This book, written by and for practitioners of regulatory delivery, explains the Regulatory Delivery Model, developed by Graham Russell and his team at the UK Department for Business, Energy and Industrial Strategy. The model sets out a framework to steer improvements to regulatory delivery, comprising three prerequisites for regulatory agencies to be able to operate effectively (Governance Frameworks, Accountability and Culture) and three practices for regulatory agencies to be able to deliver societal outcomes (Outcome Measurement, Risk-based Prioritisation and Intervention Choices). These elements are explored by an international group of experts in regulatory delivery reform, with case studies from around the world. Regulatory Delivery is the first product of members of the International Network for Delivery of Regulation.
Author: Graham Russell
Publisher: Bloomsbury Publishing
ISBN: 1509918604
Category : Law
Languages : en
Pages : 505
Get Book Here
Book Description
This ground-breaking book addresses the challenge of regulatory delivery, defined as the way that regulatory agencies operate in practice to achieve the intended outcomes of regulation. Regulatory reform is moving beyond the design of regulation to address what good regulatory delivery looks like. The challenge in practice is to operate a regulatory regime that is both appropriate and effective. Questions of how regulations are received and applied by those whose behaviour they seek to control, and the way they are enforced, are vital in securing desired regulatory outcomes. This book, written by and for practitioners of regulatory delivery, explains the Regulatory Delivery Model, developed by Graham Russell and his team at the UK Department for Business, Energy and Industrial Strategy. The model sets out a framework to steer improvements to regulatory delivery, comprising three prerequisites for regulatory agencies to be able to operate effectively (Governance Frameworks, Accountability and Culture) and three practices for regulatory agencies to be able to deliver societal outcomes (Outcome Measurement, Risk-based Prioritisation and Intervention Choices). These elements are explored by an international group of experts in regulatory delivery reform, with case studies from around the world. Regulatory Delivery is the first product of members of the International Network for Delivery of Regulation.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
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.
Author: OECD
Publisher: OECD Publishing
ISBN: 926408293X
Category :
Languages : en
Pages : 251
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Book Description
This publication presents recent OECD papers on risk and regulatory policy. They offer measures for developing, or improving, coherent risk governance policies.
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1616358750
Category :
Languages : en
Pages : 31
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Book Description
This note explores the interactions between new technologies with key areas of commercial law and potential legal changes to respond to new developments in technology and businesses. Inspired by the Bali Fintech Agenda, this note argues that country authorities need to closely examine the adequacy of their legal frameworks to accommodate the use of new technologies and implement necessary legal reform so as to reap the benefits of fintech while mitigating risks. Given the cross-border nature of new technologies, international cooperation among all relevant stakeholders is critical. The note is structured as follows: Section II describes the relations between technology, business, and law, Section III discusses the nature and functions of commercial law; Section IV provides a brief overview of developments in fintech; Section V examines the interaction between technology and commercial law; and Section VI concludes with a preliminary agenda for legal reform to accommodate the use of new technologies.
Author: Gary E. Marchant
Publisher: Springer Science & Business Media
ISBN: 9400713568
Category : Philosophy
Languages : en
Pages : 233
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Book Description
At the same time that the pace of science and technology has greatly accelerated in recent decades, our legal and ethical oversight mechanisms have become bogged down and slower. This book addresses the growing gap between the pace of science and technology and the lagging responsiveness of legal and ethical oversight society relies on to govern emerging technologies. Whether it be biotechnology, genetic testing, nanotechnology, synthetic biology, computer privacy, autonomous robotics, or any of the other many emerging technologies, new approaches are needed to ensure appropriate and timely regulatory responses. This book documents the problem and offers a toolbox of potential regulatory and governance approaches that might be used to ensure more responsive oversight.
Author: OECD
Publisher: OECD Publishing
ISBN: 926462273X
Category :
Languages : en
Pages : 104
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Book Description
The pace and scope of emerging technologies are creating a sea change for governments and for regulators. This report brings together case studies submitted by members of the OECD Network of Economic Regulators that highlight how regulators have analysed and tackled these issues.
Author: Roger Brownsword
Publisher: Oxford University Press
ISBN: 0191502235
Category : Law
Languages : en
Pages : 1342
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Book Description
The variety, pace, and power of technological innovations that have emerged in the 21st Century have been breathtaking. These technological developments, which include advances in networked information and communications, biotechnology, neurotechnology, nanotechnology, robotics, and environmental engineering technology, have raised a number of vital and complex questions. Although these technologies have the potential to generate positive transformation and help address 'grand societal challenges', the novelty associated with technological innovation has also been accompanied by anxieties about their risks and destabilizing effects. Is there a potential harm to human health or the environment? What are the ethical implications? Do this innovations erode of antagonize values such as human dignity, privacy, democracy, or other norms underpinning existing bodies of law and regulation? These technological developments have therefore spawned a nascent but growing body of 'law and technology' scholarship, broadly concerned with exploring the legal, social and ethical dimensions of technological innovation. This handbook collates the many and varied strands of this scholarship, focusing broadly across a range of new and emerging technology and a vast array of social and policy sectors, through which leading scholars in the field interrogate the interfaces between law, emerging technology, and regulation. Structured in five parts, the handbook (I) establishes the collection of essays within existing scholarship concerned with law and technology as well as regulatory governance; (II) explores the relationship between technology development by focusing on core concepts and values which technological developments implicate; (III) studies the challenges for law in responding to the emergence of new technologies, examining how legal norms, doctrine and institutions have been shaped, challenged and destabilized by technology, and even how technologies have been shaped by legal regimes; (IV) provides a critical exploration of the implications of technological innovation, examining the ways in which technological innovation has generated challenges for regulators in the governance of technological development, and the implications of employing new technologies as an instrument of regulatory governance; (V) explores various interfaces between law, regulatory governance, and new technologies across a range of key social domains.
Author: Thomas Wischmeyer
Publisher: Springer Nature
ISBN: 3030323617
Category : Law
Languages : en
Pages : 391
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Book Description
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.
Author: Tsuyoshi Matsuda
Publisher: Springer
ISBN: 9789811586880
Category : Law
Languages : en
Pages : 312
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Book Description
How should we proceed with advanced research of humanities and social sciences in collaboration? What are the pressing issues of this new trend in a cataclysmic time for civilization? This book, originated with a Japan Society for the Promotion of Science (JSPS) Topic-Setting Program, addresses these challenging questions in four parts for innovating twenty-first-century humanities and social sciences. It broadens the horizon for reviewing multi-disciplinary landscapes of risks and regulation of new technologies by focusing on paradigmatic cases from the fields of life and environment. Here, genome editing for reproductive treatment and renewable energy under the constraint of climate change in Japanese and global contexts are involved. The volume comprises a combination of topics and aspects such as public policy and philosophy of science, medicine and law, climate ethics, and the economics of electricity. This edited collection will thus motivate forward-thinking readers across the diverse spectrum of social sciences and humanities to survey themes of their own interests in multi-disciplinary studies. In so doing, they can explore the evolving frontiers of those disciplines and the depths of individual contributions by experts in philosophy, ethics, law, economics, and science, technology, and society (STS), including bioscience.
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
