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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.
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Drawing on comparative perspectives, this Research Handbook approaches the subject from different legal domains, considering the possibilities and limitations of the current legal framework. Reflecting on whether further regulation is needed to address the ethical and legal problems raised by data science, the contributors examine how the practice is, and should be, regulated and how it influences the law, judiciary, and legal research. The book makes a vital contribution to the emerging field of data science and law as a discipline, and covers data science methodologies and tools essential for both legal practice and scholarship.
The Research Handbook in Data Science and Law will be an important resource for students interested in data and technology law, as well as for legal scholars and practitioners in the field. Data scientists seeking an introduction to the law surrounding the field will also find this Research Handbook invaluable.
Contributors include: A. Berlee, C. Busch, A. Carlson, M.O. Cuevas, B. Custers, A. Daly, A. De Franceschi, W. Kaufmann, A. Klop, S. Kreifels, K.M. Kryla-Cudna, A.J.F. Lafarre, V. Mak, M. Mattioli, R. Nurullaev, R. Podszun, M.G. Porcedda, C. Prins, S. Ranchordas, R. Russo, K.K.E.C.T. Swinnen, P. Szulewski, E.T.T. Tai, H. U
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