Electronic Resource

On the path to AI = Law’s prophecies and the conceptual foundations of the machine learning age

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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.

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Detail Information

Series Title

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Call Number

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Publisher

: Palgrave Macmillan Cham., 2020

Collation

XXII, 147 hlm; ill., lamp.,

Language

English

ISBN/ISSN

9783030435820

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Intellectual property law
Computers / Artificial Intelligence
Human Geography

Science and Technology Studies,

Specific Detail Info

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

Statement of Responsibility

Thomas D. Grant , Damon J. Wischik

Other Information

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Source

https://link.springer.com/book/10.1007/978-3-030-43582-0

Validator

ida

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-030-43582-0

Journal Volume

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Journal Issue

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