Please use this identifier to cite or link to this item:
doi:10.22028/D291-42587
Notice: | temporarily not accessible for legal reasons |
Title: | Datengestützte Prognose justizieller Entscheidungen |
Author(s): | Brodowski, Dominik |
Editor(s): | Wörner, Liane Wilhelmi, Rüdiger Glöckner, Jochen Breuer, Marten Behrendt, Svenja |
Language: | German |
Title: | Digitalisierung des Rechts |
Pages: | 125-142 |
Publisher/Platform: | De Gruyter |
Year of Publication: | 2024 |
Place of publication: | Berlin |
Free key words: | Entwicklungsstufen Gefahren Potentiale |
DDC notations: | 340 Law |
Publikation type: | Book Chapter |
Abstract: | Tools trying to predict theo utcome of judicial decisions can achieve promising results. In this article, I will discuss their risks and potentials. Such systems can, if designed carefully to avoid perpetuating biases and petrifying the law, improve our legal systems and our understanding of the law. |
DOI of the first publication: | 10.1515/9783111343341-010 |
URL of the first publication: | https://www.degruyter.com/document/doi/10.1515/9783111343341-010/html |
Link to this record: | urn:nbn:de:bsz:291--ds-425874 hdl:20.500.11880/38205 http://dx.doi.org/10.22028/D291-42587 |
ISBN: | 978-3-11-134334-1 978-3-11-134332-7 |
Date of registration: | 8-Aug-2024 |
Notes: | Recht der Digitalisierung - Digitalisierung des Rechts ; 1 |
Faculty: | R - Rechtswissenschaftliche Fakultät |
Department: | R - Rechtswissenschaft |
Professorship: | R - Prof. Dr. Dominik Brodowski |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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