27: Machine learning and law
This chapter will provide an overview of the applications of machine learning in the legal domain, both theoretical possibilities and applications already in use. As an understanding of IT concepts is crucial for a comprehensive discussion of their applications, the chapter opens with an informal in...
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| Format: | Online |
| Język: | angielski |
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Edward Elgar Publishing
2023
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| Hasła przedmiotowe: | |
| Dostęp online: | https://directory.doabooks.org/handle/20.500.12854/132196 |
| Etykiety: |
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| _version_ | 1869515434669113344 |
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| author | Porębski, Andrzej |
| author_browse | Porębski, Andrzej |
| author_facet | Porębski, Andrzej |
| author_sort | Porębski, Andrzej |
| collection | Directory of Open Access Books |
| description | This chapter will provide an overview of the applications of machine learning in the legal domain, both theoretical possibilities and applications already in use. As an understanding of IT concepts is crucial for a comprehensive discussion of their applications, the chapter opens with an informal introduction to machine learning. In the following sections, the most relevant applications (primarily COMPAS system) and the discourses surrounding them are presented. The predictive justice trend is then considered and some applications of machine learning in legal practice are briefly pointed out. To recognise the tensions created by the prospect of the proliferation of machine learning in the application of law, especially in the judiciary, an understanding of the problems of transparency is significant. Thus, the last part of the text is devoted to the eXplainable Artificial Intelligence trend and an overview of the considerations of transparency and intelligibility of machine learning applied in law. |
| format | Online |
| id | doab-20.500.12854ir-132196 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Edward Elgar Publishing |
| publisherStr | Edward Elgar Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1321962023-12-22T13:21:17Z 27: Machine learning and law Porębski, Andrzej Machine learning; Predictive justice; XAI; COMPAS system; IT in the legal domain; Artificial intelligence UBL This chapter will provide an overview of the applications of machine learning in the legal domain, both theoretical possibilities and applications already in use. As an understanding of IT concepts is crucial for a comprehensive discussion of their applications, the chapter opens with an informal introduction to machine learning. In the following sections, the most relevant applications (primarily COMPAS system) and the discourses surrounding them are presented. The predictive justice trend is then considered and some applications of machine learning in legal practice are briefly pointed out. To recognise the tensions created by the prospect of the proliferation of machine learning in the application of law, especially in the judiciary, an understanding of the problems of transparency is significant. Thus, the last part of the text is devoted to the eXplainable Artificial Intelligence trend and an overview of the considerations of transparency and intelligibility of machine learning applied in law. Published 2023-12-22T13:21:12Z 2023-12-22T13:21:12Z 2023-12-05 chapter 9781803921327 https://directory.doabooks.org/handle/20.500.12854/132196 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.e-elgar.com/shop/gbp/research-handbook-on-law-and-technology-9781803921310.html https://www.elgaronline.com/edcollchap-oa/book/9781803921327/chapter27.xml Edward Elgar Publishing Edward Elgar Publishing 10.4337/9781803921327.00037 10.4337/9781803921327.00037 01ceac28-75b4-492a-8eec-f9b98bc6b28c https://creativecommons.org/licenses/by-nc-nd/4.0/ 9781803921327 Edward Elgar Publishing Cheltenham, UK open access |
| spellingShingle | Machine learning; Predictive justice; XAI; COMPAS system; IT in the legal domain; Artificial intelligence UBL Porębski, Andrzej 27: Machine learning and law |
| title | 27: Machine learning and law |
| title_full | 27: Machine learning and law |
| title_fullStr | 27: Machine learning and law |
| title_full_unstemmed | 27: Machine learning and law |
| title_short | 27: Machine learning and law |
| title_sort | 27 machine learning and law |
| topic | Machine learning; Predictive justice; XAI; COMPAS system; IT in the legal domain; Artificial intelligence UBL |
| topic_facet | Machine learning; Predictive justice; XAI; COMPAS system; IT in the legal domain; Artificial intelligence UBL |
| url | https://directory.doabooks.org/handle/20.500.12854/132196 |
| work_keys_str_mv | AT porebskiandrzej 27machinelearningandlaw |