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.
Rezensionen / Stimmen
'Everyone can learn something new and valuable from reading this Research Handbook. It takes a comprehensive approach to assessing the past, present, and future of sustainability reporting, publishing insightful chapters that illuminate the immense challenges facing sustainability reporting research and practice. Whether detailing its complicated history, bringing unique theoretical perspectives to its empirical study, or charting its prospects, each chapter tackles sustainability reporting with rigor and promise. I highly recommend it!' -- Robin W. Roberts, University of Central Florida, US 'In our digital world, should we rethink traditional legal concepts, review the adequacy of protective consumer regulation, and ensure that AI is fair? Should law's governance, legal practice and research itself make use of data science? This Research Handbook offers the perfect opportunity to explore these important questions.' -- Roger Brownsword, King's College London and Bournemouth University, UK
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-1-0353-1644-1 (9781035316441)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Edited by Vanessa Mak, Leiden University, Eric Tjong Tjin Tai, Tilburg University and Anna Berlee, Law Faculty, Open Universiteit, the Netherlands
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
Danielle 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 Ranchordas 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
