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On the path to AI

Law’s prophecies and the conceptual foundations of the machine learning age

Authors: Grant, Thomas D., Wischik, Damon J.

  • Discusses the impacts and uses of machine learning
  • Applies Oliver Wendell Holmes Jr's theory of prediction based on datasets to AI
  • Explores questions of how machine learning can be used and regulated wisely
  • This is an Open Access title
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書籍の購入

イーブック  
  • ISBN 978-3-030-43582-0
  • The ebook is not yet available online.
ハードカバー ¥7,019
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: May 30, 2020
  • ISBN 978-3-030-43581-3
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
この書籍について

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. 


著者について

Thomas D. Grant is a Fellow of the Lauterpacht Centre for International Law, University of Cambridge, UK.

Damon J. Wischik is a Lecturer in the Department of Computer Science and Technology, University of Cambridge, UK.

レビュー

“Finding an analogy in the legal philosophy of Oliver Wendell Holmes Jr., the authors provide a penetrating and fine-grained examination of artificial intelligence, a rich and forward-looking approach that should restrain exaggerated claims and guide a realistic assessment of AI's prospects.” 
(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)

書籍の購入

イーブック  
  • ISBN 978-3-030-43582-0
  • The ebook is not yet available online.
ハードカバー ¥7,019
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: May 30, 2020
  • ISBN 978-3-030-43581-3
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
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書誌情報

Bibliographic Information
Book Title
On the path to AI
Book Subtitle
Law’s prophecies and the conceptual foundations of the machine learning age
Authors
Copyright
2020
Publisher
Palgrave Macmillan
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
イーブック ISBN
978-3-030-43582-0
DOI
10.1007/978-3-030-43582-0
ハードカバー ISBN
978-3-030-43581-3
Edition Number
1
Number of Pages
XXII, 153
Topics