On the path to AI : : Law’s prophecies and the conceptual foundations of the machine learning age / / by Thomas D. Grant, Damon J. Wischik.
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 th...
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Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Palgrave Macmillan,, 2020. |
Year of Publication: | 2020 |
Edition: | 1st ed. 2020. |
Language: | English |
Physical Description: | 1 online resource (XXII, 147 p. 4 illus.) |
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(CKB)5280000000218635 (MiAaPQ)EBC6219747 (DE-He213)978-3-030-43582-0 (Au-PeEL)EBL6219747 (OCoLC)1161874734 (oapen)https://directory.doabooks.org/handle/20.500.12854/36340 (EXLCZ)995280000000218635 |
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Grant, Thomas D. author. aut http://id.loc.gov/vocabulary/relators/aut On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age / by Thomas D. Grant, Damon J. Wischik. 1st ed. 2020. Singapore Springer Nature 2020 Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2020. 1 online resource (XXII, 147 p. 4 illus.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. . Prologue: Starting with logic -- CHAPTER 1: Two Revolutions -- CHAPTER 2: Getting past logic -- CHAPTER 3: Experience and data as input -- CHAPTER 4: Finding patterns as the path from input to output -- CHAPTER 5: Output as prophecy -- CHAPTER 6: Explanations of machine learning -- CHAPTER 7: Juries and other reliable predictors -- CHAPTER 8: Poisonous datasets, poisonous trees -- CHAPTER 9: From Holmes to AlphaGo -- CHAPTER 10:Conclusion -- EPILOGUE: Lessons in two directions. Description based on publisher supplied metadata and other sources. English Technology—Sociological aspects. Human geography. Mass media. Law. Artificial intelligence. Science and Technology Studies. https://scigraph.springernature.com/ontologies/product-market-codes/X22270 Human Geography. https://scigraph.springernature.com/ontologies/product-market-codes/X26000 IT Law, Media Law, Intellectual Property. https://scigraph.springernature.com/ontologies/product-market-codes/R15009 Artificial Intelligence. https://scigraph.springernature.com/ontologies/product-market-codes/I21000 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 3-030-43581-4 Wischik, Damon J. author. aut http://id.loc.gov/vocabulary/relators/aut |
language |
English |
format |
eBook |
author |
Grant, Thomas D. Grant, Thomas D. Wischik, Damon J. |
spellingShingle |
Grant, Thomas D. Grant, Thomas D. Wischik, Damon J. On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age / Prologue: Starting with logic -- CHAPTER 1: Two Revolutions -- CHAPTER 2: Getting past logic -- CHAPTER 3: Experience and data as input -- CHAPTER 4: Finding patterns as the path from input to output -- CHAPTER 5: Output as prophecy -- CHAPTER 6: Explanations of machine learning -- CHAPTER 7: Juries and other reliable predictors -- CHAPTER 8: Poisonous datasets, poisonous trees -- CHAPTER 9: From Holmes to AlphaGo -- CHAPTER 10:Conclusion -- EPILOGUE: Lessons in two directions. |
author_facet |
Grant, Thomas D. Grant, Thomas D. Wischik, Damon J. Wischik, Damon J. Wischik, Damon J. |
author_variant |
t d g td tdg t d g td tdg d j w dj djw |
author_role |
VerfasserIn VerfasserIn VerfasserIn |
author2 |
Wischik, Damon J. Wischik, Damon J. |
author2_variant |
d j w dj djw |
author2_role |
VerfasserIn VerfasserIn |
author_sort |
Grant, Thomas D. |
title |
On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age / |
title_sub |
Law’s prophecies and the conceptual foundations of the machine learning age / |
title_full |
On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age / by Thomas D. Grant, Damon J. Wischik. |
title_fullStr |
On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age / by Thomas D. Grant, Damon J. Wischik. |
title_full_unstemmed |
On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age / by Thomas D. Grant, Damon J. Wischik. |
title_auth |
On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age / |
title_new |
On the path to AI : |
title_sort |
on the path to ai : law’s prophecies and the conceptual foundations of the machine learning age / |
publisher |
Springer Nature Springer International Publishing : Imprint: Palgrave Macmillan, |
publishDate |
2020 |
physical |
1 online resource (XXII, 147 p. 4 illus.) |
edition |
1st ed. 2020. |
contents |
Prologue: Starting with logic -- CHAPTER 1: Two Revolutions -- CHAPTER 2: Getting past logic -- CHAPTER 3: Experience and data as input -- CHAPTER 4: Finding patterns as the path from input to output -- CHAPTER 5: Output as prophecy -- CHAPTER 6: Explanations of machine learning -- CHAPTER 7: Juries and other reliable predictors -- CHAPTER 8: Poisonous datasets, poisonous trees -- CHAPTER 9: From Holmes to AlphaGo -- CHAPTER 10:Conclusion -- EPILOGUE: Lessons in two directions. |
isbn |
3-030-43582-2 3-030-43581-4 |
callnumber-first |
H - Social Science |
callnumber-subject |
HM - Sociology |
callnumber-label |
HM846-851 |
callnumber-sort |
HM 3846 3851 |
illustrated |
Not Illustrated |
dewey-hundreds |
300 - Social sciences |
dewey-tens |
300 - Social sciences, sociology & anthropology |
dewey-ones |
303 - Social processes |
dewey-full |
303.483 303.4834 |
dewey-sort |
3303.483 |
dewey-raw |
303.483 303.4834 |
dewey-search |
303.483 303.4834 |
oclc_num |
1161874734 |
work_keys_str_mv |
AT grantthomasd onthepathtoailawspropheciesandtheconceptualfoundationsofthemachinelearningage AT wischikdamonj onthepathtoailawspropheciesandtheconceptualfoundationsofthemachinelearningage |
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ids_txt_mv |
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On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age / |
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