Overview
Discusses the impacts and uses of machine learning
Analogizes Oliver Wendell Holmes Jr's theory of prediction in law with AI
Explores questions of how machine learning can be used and regulated wisely
This is an Open Access title
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets.
On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.
Reviews
(Frederic R. Kellogg, author of Oliver Wendell Holmes Jr. and Legal Logic)
“There’s been a lot of discussion about how machine learning introduces or consolidates bias in AI due to its reliance on historic data. Who knew that law has been working on the social problems of the impact of precedent for over a century?”
(Joanna Bryson, Professor of Ethics and Technology, Hertie School, Germany)
Authors and Affiliations
About the authors
Damon J. Wischik is a Lecturer in the Department of Computer Science and Technology, University of Cambridge, UK.
Bibliographic Information
Book Title: On the path to AI
Book Subtitle: Law’s prophecies and the conceptual foundations of the machine learning age
Authors: Thomas D. Grant, Damon J. Wischik
DOI: https://doi.org/10.1007/978-3-030-43582-0
Publisher: Palgrave Macmillan Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
License: CC BY
Hardcover ISBN: 978-3-030-43581-3Published: 03 June 2020
eBook ISBN: 978-3-030-43582-0Published: 02 June 2020
Edition Number: 1
Number of Pages: XXII, 147
Number of Illustrations: 4 b/w illustrations
Topics: Science and Technology Studies, Human Geography, IT Law, Media Law, Intellectual Property, Artificial Intelligence