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  • 1
    Online Resource
    Online Resource
    On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age (2020)
    Cham :Springer International Publishing, | Cham :Palgrave Macmillan.
    Details
    UID:
    almafu_BV046792179
    Format: 1 Online-Ressource (XXII, 147 Seiten).
    ISBN: 978-3-030-43582-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-43581-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-43583-7
    Language: English
    Keywords: Künstliche Intelligenz
    DOI: 10.1007/978-3-030-43582-0
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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    Fulltext
    Fulltext
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    FU Berlin
    EUV Frankfurt
    HTW Berlin
    FH Potsdam
    Charité
    BTU Cottbus
  • 2
    Online Resource
    Online Resource
    On the Path to AI : Law's Prophecies and the Conceptual Foundations of the Machine Learning Age. (2020)
    Cham :Springer International Publishing AG,
    Details
    UID:
    almahu_9949602265802882
    Format: 1 online resource (163 pages)
    Edition: 1st ed.
    ISBN: 9783030435820
    Note: Intro -- Prologue-Starting with Logic -- Holmes and His Legacy -- A Note on Terminology: Machine Learning, Artificial Intelligence, and Neural Networks -- Notes -- Contents -- About the Authors -- Abbreviations -- 1 Two Revolutions -- 1.1 An Analogy and Why We're Making It -- 1.2 What the Analogy Between a Nineteenth Century Jurist and Machine Learning Can Tell Us -- 1.3 Applications of Machine Learning in Law-And Everywhere Else -- 1.4 Two Revolutions with a Common Ancestor -- 2 Getting Past Logic -- 2.1 Formalism in Law and Algorithms in Computing -- 2.2 Getting Past Algorithms -- 2.3 The Persistence of Algorithmic Logic -- 3 Experience and Data as Input -- 3.1 Experience Is Input for Law -- 3.2 Data Is Input for Machine Learning -- 3.3 The Breadth of Experience and the Limits of Data -- 4 Finding Patterns as the Path from Input to Output -- 4.1 Pattern Finding in Law -- 4.2 So Many Problems Can Be Solved by Pure Curve Fitting -- 4.3 Noisy Data, Contested Patterns -- 5 Output as Prophecy -- 5.1 Prophecies Are What Law Is -- 5.2 Prediction Is What Machine Learning Output Is -- 5.3 Limits of the Analogy -- 5.4 Probabilistic Reasoning and Prediction -- 6 Explanations of Machine Learning -- 6.1 Holmes's "Inarticulate Major Premise" -- 6.2 Machine Learning's Inarticulate Major Premise -- 6.3 The Two Cultures: Scientific Explanation Versus Machine Learning Prediction -- 6.4 Why We Still Want Explanations -- 7 Juries and Other Reliable Predictors -- 7.1 Problems with Juries, Problems with Machines -- 7.2 What to Do About the Predictors? -- 8 Poisonous Datasets, Poisonous Trees -- 8.1 The Problem of Bad Evidence -- 8.2 Data Pruning -- 8.3 Inferential Restraint -- 8.4 Executional Restraint -- 8.5 Poisonous Pasts and Future Growth -- 9 From Holmes to AlphaGo -- 9.1 Accumulating Experience -- 9.2 Legal Explanations, Decisions, and Predictions. , 9.3 Gödel, Turing, and Holmes -- 9.4 What Machine Learning Can Learn from Holmes and Turing -- 10 Conclusion -- 10.1 Holmes as Futurist -- 10.2 Where Did Holmes Think Law Was Going, and Might Computer Science Follow? -- 10.3 Lessons for Lawyers and Other Laypeople -- Epilogue: Lessons in Two Directions -- A Data Scientist's View -- A Lawyer's View -- Selected Bibliography -- Index.
    Additional Edition: Print version: Grant, Thomas D. On the Path to AI Cham : Springer International Publishing AG,c2020 ISBN 9783030435813
    Language: English
    Keywords: Electronic books. ; Electronic books
    URL: Click to View
    URL: Full-text  ((OIS Credentials Required))
    URL: lizenzpflichtig
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    HU Berlin
    Berlin International
    UB Potsdam
  • 3
    Online Resource
    Online Resource
    On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age (2020)
    Singapore : Springer Nature | Cham :Springer International Publishing :
    Details
    UID:
    almahu_9948368126302882
    Format: 1 online resource (XXII, 147 p. 4 illus.)
    Edition: 1st ed. 2020.
    ISBN: 3-030-43582-2
    Content: 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. .
    Note: 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. , English
    Additional Edition: ISBN 3-030-43581-4
    Language: English
    DOI: 10.1007/978-3-030-43582-0
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
    FU Berlin
    Charité
  • 4
    Online Resource
    Online Resource
    On the path to AI : Law's prophecies and the conceptual foundations of the machine learning age (2020)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9948573623902882
    Format: XXII, 147 p. 4 illus. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030435820
    Content: 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. .
    Note: 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.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030435813
    Additional Edition: Printed edition: ISBN 9783030435837
    Language: English
    DOI: 10.1007/978-3-030-43582-0
    URL: https://doi.org/10.1007/978-3-030-43582-0
    Library Location Call Number Volume/Issue/Year Availability
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    Open Access Request
    HU Berlin
  • 5
    Online Resource
    Online Resource
    On the path to AI : Laws prophecies and the conceptual foundations of the machine learning age (2020)
    Cham :Springer International Publishing,
    Details
    UID:
    kobvindex_HPB1163810966
    Format: 1 online resource (XXII, 147 p. 4 illus.) , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030435820 , 3030435822
    Content: 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.
    Note: 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.
    Additional Edition: Print version: Grant, Thomas D. On the Path to AI : Law's Prophecies and the Conceptual Foundations of the Machine Learning Age Cham : Springer International Publishing AG,c2020 ISBN 9783030435813
    Language: English
    URL: https://ezproxy.lau.edu.lb:2443/login?url=https://doi.org/10.1007/978-3-030-43582-0
    URL: Click here to view book
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    HPol Brandenburg
  • 6
    Online Resource
    Online Resource
    On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age (2020)
    Singapore : Springer Nature | Cham :Springer International Publishing :
    Details
    UID:
    edocfu_9959380009402883
    Format: 1 online resource (XXII, 147 p. 4 illus.)
    Edition: 1st ed. 2020.
    ISBN: 3-030-43582-2
    Content: 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. .
    Note: 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. , English
    Additional Edition: ISBN 3-030-43581-4
    Language: English
    DOI: 10.1007/978-3-030-43582-0
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    FU Berlin
  • 7
    Online Resource
    Online Resource
    On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age (2020)
    Singapore : Springer Nature | Cham :Springer International Publishing :
    Details
    UID:
    edoccha_9959380009402883
    Format: 1 online resource (XXII, 147 p. 4 illus.)
    Edition: 1st ed. 2020.
    ISBN: 3-030-43582-2
    Content: 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. .
    Note: 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. , English
    Additional Edition: ISBN 3-030-43581-4
    Language: English
    DOI: 10.1007/978-3-030-43582-0
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    Charité
  • 8
    Online Resource
    Online Resource
    On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age (2020)
    Cham :Springer International Publishing, | Cham :Palgrave Macmillan.
    Details
    UID:
    edoccha_BV046792179
    Format: 1 Online-Ressource (XXII, 147 Seiten).
    ISBN: 978-3-030-43582-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-43581-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-43583-7
    Language: English
    Keywords: Künstliche Intelligenz
    DOI: 10.1007/978-3-030-43582-0
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Fulltext
    Fulltext
    Charité
  • 9
    Online Resource
    Online Resource
    On the path to AI : Law’s prophecies and the conceptual foundations of the machine learning age (2020)
    Cham :Springer International Publishing, | Cham :Palgrave Macmillan.
    Details
    UID:
    edocfu_BV046792179
    Format: 1 Online-Ressource (XXII, 147 Seiten).
    ISBN: 978-3-030-43582-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-43581-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-43583-7
    Language: English
    Keywords: Künstliche Intelligenz
    DOI: 10.1007/978-3-030-43582-0
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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    Online Resource
    Fulltext
    Fulltext
    FU Berlin
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