Big Data a Tool for Inclusion Or Exclusion? Understanding the Issues

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781535337441
Total Pages : 48 pages
Book Rating : 4.3/5 (374 download)

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Book Synopsis Big Data a Tool for Inclusion Or Exclusion? Understanding the Issues by : Federal Trade Federal Trade Commission

Download or read book Big Data a Tool for Inclusion Or Exclusion? Understanding the Issues written by Federal Trade Federal Trade Commission and published by Createspace Independent Publishing Platform. This book was released on 2016-07-18 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are in the era of big data. With a smartphone now in nearly every pocket, a computer in nearly every household, and an ever-increasing number of Internet-connected devices in the marketplace, the amount of consumer data flowing throughout the economy continues to increase rapidly. The analysis of this data is often valuable to companies and to consumers, as it can guide the development of new products and services, predict the preferences of individuals, help tailor services and opportunities, and guide individualized marketing. At the same time, advocates, academics, and others have raised concerns about whether certain uses of big data analytics may harm consumers, particularly lowincome and underserved populations. To explore these issues, the Federal Trade Commission ("FTC" or "the Commission") held a public workshop, Big Data: A Tool for Inclusion or Exclusion?, on September 15, 2014. The workshop brought together stakeholders to discuss both the potential of big data to create opportunities for consumers and to exclude them from such opportunities. The Commission has synthesized the information from the workshop, a prior FTC seminar on alternative scoring products, and recent research to create this report. Though "big data" encompasses a wide range of analytics, this report addresses only the commercial use of big data consisting of consumer information and focuses on the impact of big data on low-income and underserved populations. Of course, big data also raises a host of other important policy issues, such as notice, choice, and security, among others. Those, however, are not the primary focus of this report. As "little" data becomes "big" data, it goes through several phases. The life cycle of big data can be divided into four phases: (1) collection; (2) compilation and consolidation; (3) analysis; and (4) use. This report focuses on the fourth phase and discusses the benefits and risks created by the use of big data analytics; the consumer protection and equal opportunity laws that currently apply to big data; research in the field of big data; and lessons that companies should take from the research. Ultimately, this report is intended to educate businesses on important laws and research that are relevant to big data analytics and provide suggestions aimed at maximizing the benefits and minimizing its risks.

Youth Exclusion and Empowerment in the Contemporary Global Order

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Publisher : Emerald Group Publishing
ISBN 13 : 1803827793
Total Pages : 197 pages
Book Rating : 4.8/5 (38 download)

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Book Synopsis Youth Exclusion and Empowerment in the Contemporary Global Order by : Oláyínká Àkànle

Download or read book Youth Exclusion and Empowerment in the Contemporary Global Order written by Oláyínká Àkànle and published by Emerald Group Publishing. This book was released on 2022-08-16 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second of two volumes filling a gap in the literature in understanding and responding to this grand challenge, this edited collection focuses particularly on the impact and complex consequences of migration, youth experiences and the functioning of digital spaces, and the shaping of youth identity through exposure to both.

Big Data, Health Law, and Bioethics

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Publisher : Cambridge University Press
ISBN 13 : 110815364X
Total Pages : 374 pages
Book Rating : 4.1/5 (81 download)

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Book Synopsis Big Data, Health Law, and Bioethics by : I. Glenn Cohen

Download or read book Big Data, Health Law, and Bioethics written by I. Glenn Cohen and published by Cambridge University Press. This book was released on 2018-03-08 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.

The Politics and Policies of Big Data

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Publisher : Routledge
ISBN 13 : 1351866540
Total Pages : 358 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis The Politics and Policies of Big Data by : Ann Rudinow Sætnan

Download or read book The Politics and Policies of Big Data written by Ann Rudinow Sætnan and published by Routledge. This book was released on 2018-05-08 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ‘data doubles’. Whilst never a precise portrayal of who we are, they unarguably contain glimpses of details about us that, when deployed into various routines (such as management, policing and advertising) can affect us in many ways. How are we to deal with Big Data? When is it beneficial to us? When is it harmful? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance. An interdisciplinary volume, The Politics of Big Data will appeal to undergraduate and postgraduate students, as well as postdoctoral and senior researchers interested in fields such as Technology, Politics and Surveillance.

The Cambridge Handbook of Consumer Privacy

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Publisher : Cambridge University Press
ISBN 13 : 1316859274
Total Pages : 616 pages
Book Rating : 4.3/5 (168 download)

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Book Synopsis The Cambridge Handbook of Consumer Privacy by : Evan Selinger

Download or read book The Cambridge Handbook of Consumer Privacy written by Evan Selinger and published by Cambridge University Press. This book was released on 2018-04-02 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Businesses are rushing to collect personal data to fuel surging demand. Data enthusiasts claim personal information that's obtained from the commercial internet, including mobile platforms, social networks, cloud computing, and connected devices, will unlock path-breaking innovation, including advanced data security. By contrast, regulators and activists contend that corporate data practices too often disempower consumers by creating privacy harms and related problems. As the Internet of Things matures and facial recognition, predictive analytics, big data, and wearable tracking grow in power, scale, and scope, a controversial ecosystem will exacerbate the acrimony over commercial data capture and analysis. The only productive way forward is to get a grip on the key problems right now and change the conversation. That's exactly what Jules Polonetsky, Omer Tene, and Evan Selinger do. They bring together diverse views from leading academics, business leaders, and policymakers to discuss the opportunities and challenges of the new data economy.

Guide to Big Data Applications

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Publisher : Springer
ISBN 13 : 3319538179
Total Pages : 565 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Guide to Big Data Applications by : S. Srinivasan

Download or read book Guide to Big Data Applications written by S. Srinivasan and published by Springer. This book was released on 2017-05-25 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Refining the Concept of Scientific Inference When Working with Big Data

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Publisher : National Academies Press
ISBN 13 : 0309454476
Total Pages : 115 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Refining the Concept of Scientific Inference When Working with Big Data by : National Academies of Sciences, Engineering, and Medicine

Download or read book Refining the Concept of Scientific Inference When Working with Big Data written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-02-24 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013). Without careful consideration of the suitability of both available data and the statistical models applied, analysis of big data may result in misleading correlations and false discoveries, which can potentially undermine confidence in scientific research if the results are not reproducible. In June 2016 the National Academies of Sciences, Engineering, and Medicine convened a workshop to examine critical challenges and opportunities in performing scientific inference reliably when working with big data. Participants explored new methodologic developments that hold significant promise and potential research program areas for the future. This publication summarizes the presentations and discussions from the workshop.

Digital Media and Democratic Futures

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Publisher : University of Pennsylvania Press
ISBN 13 : 0812251164
Total Pages : 352 pages
Book Rating : 4.8/5 (122 download)

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Book Synopsis Digital Media and Democratic Futures by : Michael X. Delli Carpini

Download or read book Digital Media and Democratic Futures written by Michael X. Delli Carpini and published by University of Pennsylvania Press. This book was released on 2019-03-22 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The revolution in digital communications has altered the relationship between citizens and political elites, with important implications for democracy. As new information ecosystems have evolved, as unforeseen examples of their positive and negative consequences have emerged, and as theorizing, data, and research methods have expanded and improved, the central question has shifted from if the digital information environment is good or bad for democratic politics to how and in what contexts particular attributes of this environment are having an influence. It is only through the careful analysis of specific cases that we can begin to build a more comprehensive and nuanced understanding of the role of digital media in democratic theory and practice. The essays in Digital Media and Democratic Futures focus on a variety of information and communication technologies, politically relevant actors, substantive issues, and digital political practices, doing so from distinct theoretical perspectives and methodological approaches. Individually, each of these case studies provides deep insights into the complex and context-dependent relationship between media and democracy. Collectively, they show that there is no single outcome for democracy in the digital age, only a range of possible futures. Contributors: Rena Bivens, Michael X. Delli Carpini, Jennifer Earl, Thomas Elliott, Deen Freelon, Kelly Gates, Philip N. Howard, Daniel Kreiss, Ting Luo, Helen Nissenbaum, Beth Simone Noveck, Jennifer Pan, Lisa Poggiali, Daniela Stockmann.

Data Profiling and Insurance Law

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Publisher : Bloomsbury Publishing
ISBN 13 : 1509920625
Total Pages : 312 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Data Profiling and Insurance Law by : Brendan McGurk

Download or read book Data Profiling and Insurance Law written by Brendan McGurk and published by Bloomsbury Publishing. This book was released on 2019-03-21 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: The winner of the 2020 British Insurance Law Association Book Prize, this timely, expertly written book looks at the legal impact that the use of 'Big Data' will have on the provision – and substantive law – of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry.

Big Data and Armed Conflict

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Publisher : Oxford University Press
ISBN 13 : 0197668615
Total Pages : 393 pages
Book Rating : 4.1/5 (976 download)

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Book Synopsis Big Data and Armed Conflict by : Laura A. Dickinson

Download or read book Big Data and Armed Conflict written by Laura A. Dickinson and published by Oxford University Press. This book was released on 2023 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data is emerging as a key component of military operations, both on and off the battlefield. Large troves of data generated by new information technologies-often termed "big data"-are growing ever more important to a range of military functions. Military forces and other actors will increasingly need to acquire, evaluate, and utilize such data in many combat contexts. At the same time, those forces can gain advantages by targeting adversaries' data and data systems. And a multitude of actors within armed conflict, including humanitarian and human rights organizations, can also use big data to deliver aid or identify atrocities. Such myriad uses of big data raise challenging interpretive questions under international humanitarian law (IHL), the jus ad bellum, and international human rights law. This book is the first of its kind to examine how these bodies of international law might apply to the uses of big data specifically. Focusing on IHL, the book also assesses how jus ad bellum categories might translate to operations involving big data below the armed conflict threshold. And because big data is profoundly transforming modern life off the battlefield as well, the book explores questions beyond the role of big data within weapons systems and other military capabilities to questions about the nature of civilian harm and scope of individual rights. This book offers a range of approaches and ideas to this timely issue, and offers an initial roadmap for scholars, policymakers, and advocates to follow as they address the challenges still to come"--

Regulating Data Monopolies

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Publisher : Springer Nature
ISBN 13 : 9811687668
Total Pages : 252 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Regulating Data Monopolies by : Jingyuan Ma

Download or read book Regulating Data Monopolies written by Jingyuan Ma and published by Springer Nature. This book was released on 2022-01-24 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyzes the business model of enterprises in the digital economy by taking an economic and comparative perspective. The aim of this book is to conduct an in-depth analysis of the anti-competitive behavior of companies who monopolize data, and put forward the necessity of regulating data monopoly by exploring the causes and characteristics of their anti-competitive behavior. It studies four aspects of the differences between data monopoly and traditional monopolistic behavior, namely defining the relevant market for data monopolies, the entry barrier, the problem of determining the dominant position of data monopoly, and the influence on consumer welfare. It points out the limitations of traditional regulatory tools and discusses how new regulatory methods could be developed within the competition legal framework to restrict data monopolies. It proposes how economic analytical tools used in traditional anti-monopoly law are facing challenges and how competition enforcement agencies could adjust regulatory methods to deal with new anti-competitive behavior by data monopolies.

Advances in Digital Science

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Publisher : Springer Nature
ISBN 13 : 3030717828
Total Pages : 533 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Digital Science by : Tatiana Antipova

Download or read book Advances in Digital Science written by Tatiana Antipova and published by Springer Nature. This book was released on 2021-03-14 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers that were submitted to the 2021 International Conference on Advances in Digital Science (ICADS 2021) that aims to make available the discussion and the publication of papers on all aspects of single and multi-disciplinary research on Conference topics (https://ics.events/icads-2021/). ICADS 2021 was held on February 19–21, 2021. An important characteristic feature of Conference is the short publication time and world-wide distribution. Written by respected researchers, the book covers a range of innovative topics related to: Advances in Digital Agriculture & Food Technology, Advances in Digital Economics, Advances in Digital Education, Advances in Public Health Care, Hospitals & Rehabilitation, Advances in Digital Social Media, Advances in Digital Technology & Applied Sciences, Advances in E-Information Systems, and Advances in Public Administration. This book is useful for private and professional non-commercial research and classroom use (e.g. sharing the contribution by mail or in hard copy form with research colleagues for their professional non-commercial research and classroom use); for use in presentations or handouts for any level students, researchers, etc.; for the further development of authors’ scientific career (e.g. by citing, and attaching contributions to job or grant application).

Principles of Marketing for a Digital Age

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Publisher : SAGE
ISBN 13 : 1529785553
Total Pages : 592 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Principles of Marketing for a Digital Age by : Tracy L. Tuten

Download or read book Principles of Marketing for a Digital Age written by Tracy L. Tuten and published by SAGE. This book was released on 2022-11-25 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the TAA 2021 Most Promising New Textbook award! This award-winning textbook introduces you to all the essential concepts and tools for marketing in a digital age. The new second edition retains a strong focus on digital and social media marketing, and has been updated to include cutting-edge coverage on the implications of Covid-19 on consumer behavior. Greater emphasis has been placed on sustainability, diversity and inclusion, providing you with the skills you will need to become an ethical and socially-minded marketer. The new edition also includes: • Over 30 case studies from global companies, including Netflix, Amazon, Zara, Tony’s Chocolonely, Nissan, and Airbnb • A revamped ‘Sustainability Spotlight’ feature in every chapter that aligns with the UN’s Principles for Responsible Management Education (PRME) initiative • A wide range of critical thinking questions that encourage you to reflect on real-world examples and scenarios. This textbook is your essential guide to marketing as part of an introductory marketing course at college or university. Principles of Management for a Digital Age is accompanied by online resources for instructors, including PowerPoints, a testbank, selected content from SAGE Business Cases and a teaching guide containing lecture objectives, chapter outlines, activities and discussion questions. Students can access additional video content and further reading for each chapter. Tracy L. Tuten is a professor of marketing at Sofia University, USA.

Advances in Data Science and Analytics

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Publisher : John Wiley & Sons
ISBN 13 : 1119792800
Total Pages : 356 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Advances in Data Science and Analytics by : M. Niranjanamurthy

Download or read book Advances in Data Science and Analytics written by M. Niranjanamurthy and published by John Wiley & Sons. This book was released on 2022-11-01 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADVANCES in DATA SCIENCE and ANALYTICS Presenting the concepts and advances of data science and analytics, this volume, written and edited by a global team of experts, also goes into the practical applications that can be utilized across multiple disciplines and industries, for both the engineer and the student, focusing on machining learning, big data, business intelligence, and analytics. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning, and big data. Data analytics software is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on existing queries. For the purposes of this volume, data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. While a data scientist is expected to forecast the future based on past patterns, data analysts extract meaningful insights from various data sources. Although data mining and other related areas have been around for a few decades, data science and analytics are still quickly evolving, and the processes and technologies change, almost on a day-to-day basis. This volume provides an overview of some of the most important advances in these areas today, including practical coverage of the daily applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in these areas, this is a must-have for any library.

Natural Monopolies in Digital Platform Markets

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Publisher : Cambridge University Press
ISBN 13 : 1108491146
Total Pages : 203 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Natural Monopolies in Digital Platform Markets by : Francesco Ducci

Download or read book Natural Monopolies in Digital Platform Markets written by Francesco Ducci and published by Cambridge University Press. This book was released on 2020-07-23 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through three case studies, this book investigates whether digital industries are naturally monopolistic and evaluates policy approaches to market power.

ECISM 2017 11th European Conference on Information Systems Management

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Publisher : Academic Conferences and publishing limited
ISBN 13 : 1911218530
Total Pages : pages
Book Rating : 4.9/5 (112 download)

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Book Synopsis ECISM 2017 11th European Conference on Information Systems Management by :

Download or read book ECISM 2017 11th European Conference on Information Systems Management written by and published by Academic Conferences and publishing limited. This book was released on 2017-09-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms and Law

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Publisher : Cambridge University Press
ISBN 13 : 1108677452
Total Pages : 321 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Algorithms and Law by : Martin Ebers

Download or read book Algorithms and Law written by Martin Ebers and published by Cambridge University Press. This book was released on 2020-07-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramifications for citizens whose behavior is increasingly dictated by algorithms.