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...
Uloženo v:
| Další autoři: | |
|---|---|
| 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 |
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| 020 | |a 978-1-78897-282-6 |q (e-book) | ||
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| 245 | 0 | 0 | |a Research handbook on big data law / |c edited by Roland Vogl |
| 264 | 1 | |a Cheltenham : |b Edward Elgar Pubblishing, |c 2021 | |
| 300 | |a 1 online zdroj (xxii, 507 stran) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Research handbooks in information law | |
| 504 | |a Obsahuje bibliografie a rejstřík | ||
| 505 | 0 | |a 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. | |
| 520 | 9 | |a "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. Featuring contributions from a variety of expert scholars, this is an interdisciplinary dialogue addressing big data analytics, tools and techniques and the societal impact of the field. Chapters analyse both cases anchored in a particular legal system (such as anti-corruption in China) and big data law approaches relevant across multiple practice areas: including machine learning within law, legal information retrieval, natural language processing and E-discovery. It also offers original insights from industry project reports that use big data law techniques in interesting, new ways. Providing a unique and interdisciplinary blend of analysis, this Research Handbook will be a key resource for legal scholars and students researching in areas such as criminal, tax, copyright and administrative law. It will also prove useful for practicing lawyers wanting to get a sense of the legal practice of the future, as well as law-makers thinking about the use of big data law techniques in government policy"-- |9 eng | |
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