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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| Další autoři: | |
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| Typ dokumentu: | Kniha |
| Jazyk: | Angličtina |
| Vydáno: |
Cheltenham :
Edward Elgar Pubblishing,
2021
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| Edice: | Research handbooks in information law
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| Témata: | |
| On-line přístup: | Elektronická verze přístupná pouze pro studenty a pracovníky MU |
| Příbuzné jednotky: | Tištěná verze::
Research handbook on big data law |
Obsah:
- 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.