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dc.contributor.authorGrant, Thomas D.
dc.contributor.authorWischik, Damon J.
dc.date.accessioned2021-02-10T14:34:59Z
dc.date.available2021-02-10T14:34:59Z
dc.date.issued2020
dc.identifierONIX_20200615_9783030435820_16
dc.identifierhttp://library.oapen.org/handle/20.500.12657/39543
dc.identifier46239*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/36340
dc.description.abstractThis 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.
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationbic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology
dc.subject.classificationbic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGC Human geography
dc.subject.classificationbic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNJ Entertainment & media law
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
dc.subject.otherScience and Technology Studies
dc.subject.otherHuman Geography
dc.subject.otherIT Law, Media Law, Intellectual Property
dc.subject.otherArtificial Intelligence
dc.subject.otherAI
dc.subject.otherMachine learning
dc.subject.otherartificial intelligence
dc.subject.other'big data'
dc.subject.otherprobability theory
dc.subject.otherhistory of ideas
dc.subject.otherlegal interpretation
dc.subject.otherTranshumanism
dc.subject.otherFuturism
dc.subject.otherOliver Wendell Holmes Jr
dc.subject.otherWendell Holmes Jr.
dc.subject.otherlegal philosophy
dc.subject.othermachine bias
dc.subject.otheralgorithmic bias
dc.subject.otherOpen Access
dc.subject.otherSociology
dc.subject.otherHuman geography
dc.subject.otherEntertainment & media law
dc.subject.otherArtificial intelligence
dc.titleOn the path to AI
dc.title.alternativeLaw’s prophecies and the conceptual foundations of the machine learning age
dc.typebook
oapen.identifier.doi10.1007/978-3-030-43582-0
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
virtual.oapen_relation_isPublishedBy.publisher_nameSpringer Nature
virtual.oapen_relation_isPublishedBy.publisher_websitehttp://www.springernature.com/oabooks
oapen.imprintSpringer
oapen.pages147
oapen.place.publicationSingapore
dc.dateSubmitted2020-06-15T15:07:57Z


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