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pro vyhledávání: '"LAGIOIA, Francesca"'
The paper reports the results of an experiment aimed at testing to what extent ChatGPT 3.5 and 4 is able to answer questions regarding privacy policies designed in the new format that we propose. In a world of human-only interpreters, there was a tra
Externí odkaz:
http://arxiv.org/abs/2402.00013
Autor:
Lagioia, Francesca <1985>
Questo lavoro di ricerca indaga i problemi relativi alla responsabilità penale legata all’uso di sistemi di automazione e d'intelligenza artificiale nel settore dell’e-health. Tale indagine è stata svolta inquadrando il sistema sanitario all’
Externí odkaz:
http://amsdottorato.unibo.it/7697/
Recent work has demonstrated how data-driven AI methods can leverage consumer protection by supporting the automated analysis of legal documents. However, a shortcoming of data-driven approaches is poor explainability. We posit that in this domain us
Externí odkaz:
http://arxiv.org/abs/2008.07346
Autor:
Lippi, Marco, Palka, Przemyslaw, Contissa, Giuseppe, Lagioia, Francesca, Micklitz, Hans-Wolfgang, Sartor, Giovanni, Torroni, Paolo
Publikováno v:
Artif. Intell. Law 27 (2019) 117-139
Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer. We present an experimental study where machine learning is employed to automatically detect such potentially unfair clauses. Results show tha
Externí odkaz:
http://arxiv.org/abs/1805.01217
Akademický článek
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Autor:
Lippi, Marco, Contissa, Giuseppe, Jablonowska, Agnieszka, Lagioia, Francesca, Micklitz, Hans-Wolfgang, Palka, Przemyslaw, Sartor, Giovanni, Torroni, Paolo
Publikováno v:
Journal of Artificial Intelligence Research. 67:169-190
First published online: 28 January 2020 Recent years have been tainted by market practices that continuously expose us, as consumers, to new risks and threats. We have become accustomed, and sometimes even resigned, to businesses monitoring our activ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f8af791f61a8baca24242e3cfe31a96
https://doi.org/10.1613/jair.1.11519
https://doi.org/10.1613/jair.1.11519
Autor:
Grundler Giulia, Santin Piera, Galassi Andrea, Galli Federico, Godano Francesco, Lagioia Francesca, Palmieri Elena, Ruggeri Federico, Sartor Giovanni, Torroni Paolo
The successful application of argument mining in the legal domain can dramatically impact many disciplines related to law. For this purpose, we present Demosthenes, a novel corpus for argument mining in legal documents, composed of 40 decisions of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::5a84c004a6589c595dd9958f7b0d5c52
https://hdl.handle.net/11585/897007
https://hdl.handle.net/11585/897007
Autor:
DEGLI ESPOSTI, Mirko1 mirko.degliesposti@unibo.it, LAGIOIA, Francesca2 francesca.lagioia@unibo.it, SARTOR, Giovanni2 giovanni.sartor@unibo.it
Publikováno v:
European Journal of Risk Regulation. Mar2020, Vol. 11 Issue 1, p51-69. 19p.
Publikováno v:
AI & Society; Apr2023, Vol. 38 Issue 2, p459-478, 20p