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oapen-20.500.12657-39543
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oapen-20.500.12657-395432020-06-16T00:40:45Z On the path to AI Grant, Thomas D. Wischik, Damon J. Science and Technology Studies Human Geography IT Law, Media Law, Intellectual Property Artificial Intelligence AI Machine learning artificial intelligence 'big data' probability theory history of ideas legal interpretation Transhumanism Futurism Oliver Wendell Holmes Jr Wendell Holmes Jr. legal philosophy machine bias algorithmic bias Open Access Sociology Human geography Entertainment & media law Artificial intelligence bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGC Human geography bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNJ Entertainment & media law bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence 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. 2020-06-15T15:07:57Z 2020-06-15T15:07:57Z 2020 book ONIX_20200615_9783030435820_16 http://library.oapen.org/handle/20.500.12657/39543 eng application/pdf n/a 2020_Book_OnThePathToAI.pdf https://www.springer.com/9783030435820 Springer Nature Springer 10.1007/978-3-030-43582-0 10.1007/978-3-030-43582-0 6c6992af-b843-4f46-859c-f6e9998e40d5 Springer 147 Singapore open access
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OAPEN
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DSpace
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English
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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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| title |
2020_Book_OnThePathToAI.pdf
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| spellingShingle |
2020_Book_OnThePathToAI.pdf
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| title_short |
2020_Book_OnThePathToAI.pdf
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| title_full |
2020_Book_OnThePathToAI.pdf
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2020_Book_OnThePathToAI.pdf
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| title_full_unstemmed |
2020_Book_OnThePathToAI.pdf
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2020_book_onthepathtoai.pdf
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Springer Nature
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2020
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https://www.springer.com/9783030435820
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1771297572354260992
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