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Research Handbook in Data Science and Law: Second Edition(Research Handbooks in Information Law series)

Research Handbook in Data Science and Law: Second Edition(Research Handbooks in Information Law series)

          
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About the Book

This thoroughly updated Research Handbook examines the recent exponential growth of data use in society and its implications for legal research and practice. It explores contemporary research in the field of data science, as well as the operationalization of data for use in healthcare, urban governance and smart household devices, among others. Considering the emergence of Data Science and Law as a new legal discipline, the editors analyze pressing legal questions accompanying the rise of data-driven technologies. Drawing on comparative perspectives, this revised edition examines the possibilities and limitations of the current legal framework, investigating whether new regulation is needed to respond to problems raised by data science, and detailing the potential ethical issues arising from the use of data. It also evaluates the evolution of the regulation of artificial intelligence, generative AI and large language models, and EU legislation concerning consumer contract law and data protection. The Research Handbook in Data Science and Law is an essential resource for students of information and media law, internet and technology law, and research methods in law, as well as legal scholars and practitioners in the field. Data scientists seeking to further understand the law surrounding the field will also find this Research Handbook invaluable.

Table of Contents:
Contents 1 Introduction to the research handbook in data science and law (second edition) 1 Vanessa Mak, Eric Tjong Tjin Tai and Anna Berlee PART I REGULATING DATA SCIENCE 2 Consumer contract law and data-driven technologies 17 Vanessa Mak 3 Contract law and smart devices 40 Katarzyna Kryla-Cudna 4 Digital content and consumer law 59 Daniëlle Op Heij 5 Liability for data breaches and losses 77 Vincenzo Zeno-Zencovich 6 Liability for artificial intelligence 92 Eric Tjong Tjin Tai 7 Liability for artificial intelligence in EU Law 117 Tycho de Graaf 8 Pledge and attachment of data in dutch and belgian law 137 Koen Swinnen 9 Data and intellectual property law 156 Michael Mattioli 10 Legal tech and blockchain for corporate governance and shareholders 176 Anne Lafarre and Christoph van der Elst 11 Data and competition law 194 Rupprecht Podszun and Stephan Kreifels 12 Data science and criminal law 227 Litska Strikwerda, Jeroen Mensink and Robert Timmers 13 Data-driven regulation and governance in smart cities 251 Sofia Ranchordás and Abram Klop 14 Data science and taxation 277 Ronald Russo PART II DEVELOPING A NEW DISCIPLINE 15 Methods of data research for law 297 Bart Custers 16 Granular legal norms: towards data-driven personalization of private law? 317 Christoph Busch and Alberto De Franceschi 17 Data science, data crime and the law 333 Maria Grazia Porcedda and David S Wall 18 Artificial intelligence and the judiciary system 361 Bart Jan van Ettekoven and Corien Prins 19 Conclusions on data science and law 388 Vanessa Mak, Eric Tjong Tjin Tai and Anna Berlee


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Product Details
  • ISBN-13: 9781035316441
  • Publisher: Edward Elgar Publishing Ltd
  • Publisher Imprint: Edward Elgar Publishing Ltd
  • Edition: 2
  • Language: English
  • Series Title: Research Handbooks in Information Law series
  • Width: 156 mm
  • ISBN-10: 1035316447
  • Publisher Date: 13 Aug 2024
  • Binding: Hardback
  • Height: 234 mm
  • No of Pages: 426
  • Sub Title: Second Edition


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Research Handbook in Data Science and Law: Second Edition(Research Handbooks in Information Law series)
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Research Handbook in Data Science and Law: Second Edition(Research Handbooks in Information Law series)
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