Algorithmic regulation and personalized law : a handbook /
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| Imprint: | München : C.H.Beck ; Baden-Baden : Nomos ; Oxford : Hart Publishing, 2021. ©2021 |
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| Description: | xiii, 292 pages ; illustrations 25 cm |
| Language: | English |
| Subject: | |
| Format: | Print Book |
| Local Note: | Includes contributions from Lior Strahilevits, Omri Ben-Shahar, and Anthony J. Casey. |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12523120 |
| Summary: | This new handbook takes an innovative look at the current and potential effects of big data and artificial intelligence on the legal system. It explains how technological advances in data collection and information processing will make it possible to change the design of legal rules and tailor them to specific individuals. This new type of "granular legal norms" is part of a broader trend towards algorithmic regulation in the emerging data economy. With practical examples from contract, consumer and tort law, leading experts from Canada, Europe, Israel, and the United States explain how and to what extent legal norms could be personalised. They explore the advantages, limitations and potential dangers of legal micro-targeting and explain how the personalisation of legal norms could change the relationship between individuality, privacy and the protection of general interests. This handbook offers a multi-faceted overview of the emerging field of "personalised law" and provides a unique source of inspiration for scholars, lawyers, judges and lawmakers. |
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| Physical Description: | xiii, 292 pages ; illustrations 25 cm |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781509931750 1509931759 9783406743917 3406743919 9783848769209 3848769204 |