Competition and Regulation in the Data Economy PDF Download

Author: Gintarè Surblytė-Namavičienė
Publisher: Edward Elgar Publishing
ISBN: 1788116658
Category : Law
Languages : en
Pages : 296

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Book Description
This incisive book provides a much-needed examination of the legal issues arising from the data economy, particularly in the light of the expanding role of algorithms and artificial intelligence in business and industry. In doing so, it discusses the pressing question of how to strike a balance in the law between the interests of a variety of stakeholders, such as AI industry, businesses and consumers.

Author: Karen Yeung
Publisher: Oxford University Press
ISBN: 0192575430
Category : Law
Languages : en
Pages : 304

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Book Description
As the power and sophistication of of 'big data' and predictive analytics has continued to expand, so too has policy and public concern about the use of algorithms in contemporary life. This is hardly surprising given our increasing reliance on algorithms in daily life, touching policy sectors from healthcare, transport, finance, consumer retail, manufacturing education, and employment through to public service provision and the operation of the criminal justice system. This has prompted concerns about the need and importance of holding algorithmic power to account, yet it is far from clear that existing legal and other oversight mechanisms are up to the task. This collection of essays, edited by two leading regulatory governance scholars, offers a critical exploration of 'algorithmic regulation', understood both as a means for co-ordinating and regulating social action and decision-making, as well as the need for institutional mechanisms through which the power of algorithms and algorithmic systems might themselves be regulated. It offers a unique perspective that is likely to become a significant reference point for the ever-growing debates about the power of algorithms in daily life in the worlds of research, policy and practice. The range of contributors are drawn from a broad range of disciplinary perspectives including law, public administration, applied philosophy, data science and artificial intelligence. Taken together, they highlight the rise of algorithmic power, the potential benefits and risks associated with this power, the way in which Sheila Jasanoff's long-standing claim that 'technology is politics' has been thrown into sharp relief by the speed and scale at which algorithmic systems are proliferating, and the urgent need for wider public debate and engagement of their underlying values and value trade-offs, the way in which they affect individual and collective decision-making and action, and effective and legitimate mechanisms by and through which algorithmic power is held to account.

Author: Christoph Busch
Publisher:
ISBN: 9783406743917
Category :
Languages : en
Pages :

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Author: V. Sridhar
Publisher: Taylor & Francis
ISBN: 1000483126
Category : Social Science
Languages : en
Pages : 305

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Book Description
This book explores how data about our everyday online behaviour are collected and how they are processed in various ways by algorithms powered by Artificial Intelligence (AI) and Machine Learning (ML). The book investigates the socioeconomic effects of these technologies, and the evolving regulatory landscape that is aiming to nurture the positive effects of these technology evolutions while at the same time curbing possible negative practices. The volume scrutinizes growing concerns on how algorithmic decisions can sometimes be biased and discriminative; how autonomous systems can possibly disrupt and impact the labour markets, resulting in job losses in several traditional sectors while creating unprecedented opportunities in others; the rapid evolution of social media that can be addictive at times resulting in associated mental health issues; and the way digital Identities are evolving around the world and their impact on provisioning of government services. The book also provides an in-depth understanding of regulations around the world to protect privacy of data subjects in the online world; a glimpse of how data is used as a digital public good in combating Covid pandemic; and how ethical standards in autonomous systems are evolving in the digital world. A timely intervention in this fast-evolving field, this book will be useful for scholars and researchers of digital humanities, business and management, internet studies, data sciences, political studies, urban sociology, law, media and cultural studies, sociology, cultural anthropology, and science and technology studies. It will also be of immense interest to the general readers seeking insights on daily digital lives.

Author: Samiksha Shukla
Publisher: Springer Nature
ISBN: 9819976774
Category : Technology & Engineering
Languages : en
Pages : 139

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Book Description
The book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.

Author: Martin Ebers
Publisher: Cambridge University Press
ISBN: 1108424821
Category : Computers
Languages : en
Pages : 321

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

Author: Fotios Fitsilis
Publisher: Springer Nature
ISBN: 3030279790
Category : Law
Languages : en
Pages : 82

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Book Description
This book discusses the necessity and perhaps urgency for the regulation of algorithms on which new technologies rely; technologies that have the potential to re-shape human societies. From commerce and farming to medical care and education, it is difficult to find any aspect of our lives that will not be affected by these emerging technologies. At the same time, artificial intelligence, deep learning, machine learning, cognitive computing, blockchain, virtual reality and augmented reality, belong to the fields most likely to affect law and, in particular, administrative law. The book examines universally applicable patterns in administrative decisions and judicial rulings. First, similarities and divergence in behavior among the different cases are identified by analyzing parameters ranging from geographical location and administrative decisions to judicial reasoning and legal basis. As it turns out, in several of the cases presented, sources of general law, such as competition or labor law, are invoked as a legal basis, due to the lack of current specialized legislation. This book also investigates the role and significance of national and indeed supranational regulatory bodies for advanced algorithms and considers ENISA, an EU agency that focuses on network and information security, as an interesting candidate for a European regulator of advanced algorithms. Lastly, it discusses the involvement of representative institutions in algorithmic regulation.

Author: Fleur Johns
Publisher:
ISBN:
Category :
Languages : en
Pages : 33

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Book Description
This article aims to characterize and compare some approaches to regulation manifest in distinct yet intersecting domains of data assemblage and algorithmic development, and to explore some implications of their operating in concert. We focus on three such types of domain, each oriented towards different purposes: market jurisdictions; public science jurisdictions; and jurisdictions of humanitarianism. These domains we characterize as data jurisdictions because they tend to propagate distinct normative claims and concerns, and authorize particular types of speech and action, through algorithmic operations and data formatting. In this paper, we focus on the intersection of these archetypal data jurisdictions in two, related initiatives of the United Nations (UN): Haze Gazer and CycloMon. In the context of these projects, the market domain is represented by their incorporation of Twitter and social media data; the public science domain by their use of NASA Earth Observatory data, US National Oceanic and Atmospheric Administration (NOAA) data, and Air Quality Index China (AQICN) air quality data; and the humanitarian domain by their status as UN projects designed to serve the aims and enlarge the capacities of development and humanitarian professionals. We analyse how, and with what ramifications, these domains of algorithmic regulation intersect in Haze Gazer and CycloMon. In so doing, we advance two main arguments. First, we argue that certain normative commitments regarding data, data use, and data users circulate and gain ground through their embeddedness in seemingly benign infrastructures and formats of data handling and representation. Particular (contentious) norms are prioritised, spread and imbibed as much through day-to-day data usage as through explicit argument or endorsement. Second, we argue that blind spots tend to emerge from the intersection of different jurisdictions over, or approaches to, the challenge of responsible algorithmic regulation. The data jurisdictions that we analyse in this article demand quite divergent normative commitments, but the conflicts among these are hard for users to discern in day-to-day interaction with the platforms that we describe. We contend that jurisdictional analysis of projects in operation may help data contributors and users to take account of, and potentially take a stand on, these important differences.

Author: Martin Ebers
Publisher: Springer Nature
ISBN: 3030505596
Category : Law
Languages : en
Pages : 174

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Book Description
Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole (“algorithmic governance”), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more. This has sparked a global debate on how to regulate AI and robotics (“governance of algorithms”). This book discusses both of these key aspects: the impact of algorithms, and the possibilities for future regulation.

Author: Michael Kearns
Publisher: Oxford University Press
ISBN: 0190948221
Category : Computers
Languages : en
Pages : 288

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Book Description
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.