Research handbook on big data law /

"This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues c...

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Bibliographic Details
Corporate Author: Edward Elgar Publishing
Other Authors: Vogl, Roland (Editor)
Format: eBook
Language:English
Published: Northampton : Edward Elgar Pubblishing, 2021
Series:Research handbooks in information law series
Subjects:
Big data > Law and legislation.
big dáta
duševne vlasníctvo
elektronické dokumenty
ISBN:9781788972826 (e-book)
Online Access: Get full text
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Table of Contents:
  • Contents: Introduction to the research handbook on big data law / Roland Vogl
  • 1. The accuracy, equity, and jurisprudence of criminal risk assessment / Sharad Goel, Ravi Shroff, Jennifer Skeem and Christopher Slobogin
  • 2. The many faces of facial recognition / Stephen Caines
  • 3. Artificially intelligent government: A review and agenda / David Freeman Engstrom and Daniel E. Ho
  • 4. Big data and copyright law / Daniel Seng
  • 5. Big data analytics, online terms of service and privacy policies / Przemysław Pałka and Marco Lippi
  • 6. Data analytics and tax law / Benjamin Alarie, Anthony Niblett and Albert Yoon
  • 7. Experience of big data anti-corruption in China / Ran Wang
  • 8. Machine learning and law: An overview / Harry Surden
  • 9. Scotus outcome prediction: A new machine learning approach / Ashkon Farhangi and Ajay Sohmshetty
  • 10. Legal information retrieval / Ashraf Bah Rabiou
  • 11. Lexnlp: Natural language processing and information extraction for legal and regulatory texts / Michael J. Bommarito II, Daniel Martin Katz and Eric M. Detterman
  • 12. Quantitative legal research in Germany / Dirk Hartung
  • 13. Big data analytics for e-discovery / Johannes C. Scholtes and Hendrik Jacob van den Herik
  • 14. Generalizability: Machine learning and humans-in-the-loop / John Nay and Katherine J. Strandburg
  • 15. The victor project: Applying artificial intelligence to brazil's supreme federal court / Ricardo Vieira de Carvalho Fernandes, Danilo Barros Mendes, Gustavo Henrique T.A. Carvalho and Hugo Honda Ferreira
  • 16. Explainable artificial intelligence / Mary-Anne Williams
  • 17. Explainability and transparency of machine learning in adm systems / Bernhard Waltl
  • 18. Certifying artificial intelligence systems / Florian Möslein and Roberto V. Zicari
  • 19. Rules, cases and arguments in artificial intelligence and law / Heng Zheng and Bart Verheij
  • 20. Artificial intelligence and the zealous litigator / James Yoon
  • 21. Evaluating legal services: The need for a quality movement and standard measures of quality and value / Daniel W. Linna Jr.
  • 22. Machine learning and EU data-sharing practices: Legal aspects of machine learning training datasets for AI systems / Mauritz Kop
  • 23. Ai-driven contract review: A product development journey / Shlomit Labin and Uri Segal
  • 24. Practical guide to artificial intelligence and contract review / Andrew Antos and Nischal Nadhamuni
  • 25. Legal marketplaces using machine learning techniques / Verónica Sorin and Martí Manent
  • Index.

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