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The Resource Research handbook on big data law

Research handbook on big data law

Label
Research handbook on big data law
Title
Research handbook on big data law
Contributor
Subject
Language
  • eng
  • eng
Summary
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 concerning the application of big data techniques in different domains
Geographic coverage
International
Index
no index present
Language note
English
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
Vogl, R
Series statement
Research Handbooks in Information Law series
http://library.link/vocab/subjectName
  • big data
  • artificial intelligence
  • digital economy
  • copyright
  • data analytics
  • risk assessment
  • information technology
Label
Research handbook on big data law
Instantiates
Publication
Contents
  • 1. The accuracy, equity, and jurisprudence of criminal risk assessment/
  • Goel, S.
  • Shroff, R.
  • Skeem, J.
  • Slobogin, C.
  • ; p. 9-28
  • 2. The many faces of facial recognition/
  • Caines, S.
  • ; p. 29-56
  • 3. Artificially intelligent government: a review and agenda/
  • Freeman Engstrom, D.
  • Ho, D.E.
  • ; p.57-86
  • 4. Big data and copyright law/
  • Seng, D.
  • ; p. 87-114
  • 5. Big data analytics, online terms of service and privacy policies/
  • Pałka, P.
  • Lippi, M.
  • ; p. 115-134
  • 6. Data analytics and tax law/
  • Alarie, B.
  • Niblett, A.
  • Yoon, A.
  • ; p. 135-149
  • 7. Experience of big data anti-corruption in China/
  • Wang, R.
  • ; p. 150-170
  • 8. Machine learning and law: an overview/
  • Surden, H.
  • ; p. 171-184
  • 9. SCOTUS outcome prediction: a new machine learning approach/
  • Farhangi, A.
  • Sohmshetty, A.
  • ; p. 185-197
  • 10. Legal information retrieval/
  • Bah Rabiou, A.
  • ; p. 198-215
  • 11. LexNLP: natural language processing and information extraction for legal and regulatory texts/
  • Bommarito II, M.J.
  • Martin Katz, D.
  • Detterman, E.M.
  • ; p. 216-227
  • 12. Quantitative legal research in Germany/
  • Hartung, D.
  • ; p. 228-252
  • 13. Big data analytics for e-discovery/
  • Scholtes, J.C.
  • van den Herik, H.J.
  • ; p. 253-284
  • 14. Generalizability: machine learning and humans-in-the-loop/
  • Nay, J.
  • Strandburg, K.J.
  • ; p. 285-303
  • 15. The VICTOR Project: applying artificial intelligence to Brazil's Supreme Federal Court/
  • Fernandes, R. Vieira de Carvalho
  • Mendes, D. Barros
  • Carvalho, G.H.T.A.
  • Ferreira, H. Honda
  • ; p. 304-317
  • 16. Explainable artificial intelligence/
  • Williams, M-A.
  • ; p. 318-340
  • 17. Explainability and transparency of machine learning in ADM systems/
  • Waltl, B.
  • ; p. 341-356
  • 18. Certifying artificial intelligence systems/
  • Möslein, F.
  • Zicari, R.V.
  • ; p. 357-373
  • 19. Rules, cases and arguments in artificial intelligence and law/
  • Zheng, H.
  • Verheij, B.
  • ; p. 374-388
  • 20. Artifical intelligence and the zealous litigator/
  • Yoon, J.
  • ; p. 389-403
  • 21. Evaluating legal services: the need for a quality movement and standard measures of quality and value/
  • Linna, D.W. Jr.
  • ; p. 404-431
  • 22. Machine learning and EU data-sharing practices: legal aspects of machine learning training datasets for AI systems/
  • Kop, M.
  • ; p. 432-453
  • 23. AI-driven contract review: a product development journey/
  • Labin, S.
  • Segal, U.
  • ; p. 454-466
  • 24. Practical guide to artificial intelligence and contract review/
  • Antos, A.
  • Nadhamuni, N.
  • ; p. 467-481
  • 25. Legal marketplaces using machine learning techniques/
  • Sorin, V.
  • Manent, M.
  • ; p. 482-485
Extent
xxii, 507 p.
Isbn
9781788972826
Note
20210702
Label
Research handbook on big data law
Publication
Contents
  • 1. The accuracy, equity, and jurisprudence of criminal risk assessment/
  • Goel, S.
  • Shroff, R.
  • Skeem, J.
  • Slobogin, C.
  • ; p. 9-28
  • 2. The many faces of facial recognition/
  • Caines, S.
  • ; p. 29-56
  • 3. Artificially intelligent government: a review and agenda/
  • Freeman Engstrom, D.
  • Ho, D.E.
  • ; p.57-86
  • 4. Big data and copyright law/
  • Seng, D.
  • ; p. 87-114
  • 5. Big data analytics, online terms of service and privacy policies/
  • Pałka, P.
  • Lippi, M.
  • ; p. 115-134
  • 6. Data analytics and tax law/
  • Alarie, B.
  • Niblett, A.
  • Yoon, A.
  • ; p. 135-149
  • 7. Experience of big data anti-corruption in China/
  • Wang, R.
  • ; p. 150-170
  • 8. Machine learning and law: an overview/
  • Surden, H.
  • ; p. 171-184
  • 9. SCOTUS outcome prediction: a new machine learning approach/
  • Farhangi, A.
  • Sohmshetty, A.
  • ; p. 185-197
  • 10. Legal information retrieval/
  • Bah Rabiou, A.
  • ; p. 198-215
  • 11. LexNLP: natural language processing and information extraction for legal and regulatory texts/
  • Bommarito II, M.J.
  • Martin Katz, D.
  • Detterman, E.M.
  • ; p. 216-227
  • 12. Quantitative legal research in Germany/
  • Hartung, D.
  • ; p. 228-252
  • 13. Big data analytics for e-discovery/
  • Scholtes, J.C.
  • van den Herik, H.J.
  • ; p. 253-284
  • 14. Generalizability: machine learning and humans-in-the-loop/
  • Nay, J.
  • Strandburg, K.J.
  • ; p. 285-303
  • 15. The VICTOR Project: applying artificial intelligence to Brazil's Supreme Federal Court/
  • Fernandes, R. Vieira de Carvalho
  • Mendes, D. Barros
  • Carvalho, G.H.T.A.
  • Ferreira, H. Honda
  • ; p. 304-317
  • 16. Explainable artificial intelligence/
  • Williams, M-A.
  • ; p. 318-340
  • 17. Explainability and transparency of machine learning in ADM systems/
  • Waltl, B.
  • ; p. 341-356
  • 18. Certifying artificial intelligence systems/
  • Möslein, F.
  • Zicari, R.V.
  • ; p. 357-373
  • 19. Rules, cases and arguments in artificial intelligence and law/
  • Zheng, H.
  • Verheij, B.
  • ; p. 374-388
  • 20. Artifical intelligence and the zealous litigator/
  • Yoon, J.
  • ; p. 389-403
  • 21. Evaluating legal services: the need for a quality movement and standard measures of quality and value/
  • Linna, D.W. Jr.
  • ; p. 404-431
  • 22. Machine learning and EU data-sharing practices: legal aspects of machine learning training datasets for AI systems/
  • Kop, M.
  • ; p. 432-453
  • 23. AI-driven contract review: a product development journey/
  • Labin, S.
  • Segal, U.
  • ; p. 454-466
  • 24. Practical guide to artificial intelligence and contract review/
  • Antos, A.
  • Nadhamuni, N.
  • ; p. 467-481
  • 25. Legal marketplaces using machine learning techniques/
  • Sorin, V.
  • Manent, M.
  • ; p. 482-485
Extent
xxii, 507 p.
Isbn
9781788972826
Note
20210702

Library Locations

    • IBFD Library AmsterdamBorrow it
      Rietlandpark 301, Amsterdam, 1019 DW, NL
      52.3736660 4.9336932
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