Chapter Valutazione della propensione alla mediazione tramite eXplainable AI
Mediation in civil trials can effectively resolve disputes outside of court proceedings, easing the burden on the courts if successful. Efficiency in identifying disputes is essential, as a failed attempt at mediation can lengthen the duration of the trial. The decision rests with the judge/tribunal...
Bewaard in:
| Hoofdauteur: | |
|---|---|
| Formaat: | Online |
| Taal: | Italiaans |
| Gepubliceerd in: |
Firenze University Press
2025
|
| Onderwerpen: | |
| Online toegang: | ONIX_20241220_9791221503166_10 |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|
| _version_ | 1869525272399708160 |
|---|---|
| author | nesi, paolo |
| author_browse | nesi, paolo |
| author_facet | nesi, paolo |
| author_sort | nesi, paolo |
| collection | Directory of Open Access Books |
| description | Mediation in civil trials can effectively resolve disputes outside of court proceedings, easing the burden on the courts if successful. Efficiency in identifying disputes is essential, as a failed attempt at mediation can lengthen the duration of the trial. The decision rests with the judge/tribunal on the basis of numerous documents that contain certain statements significant to the decision. This paper describes an artificial intelligence, AI, solution to provide a decision support system that can process documents and (i) produce reliable suggestions, (ii) produce substantiated reasons by highlighting the statements that led to the suggestion, and (iii) respect privacy and data security. Explainable AI techniques (XAI) technologies were used for this purpose, resulting in a solution that meets the defined objectives. The solution was developed as part of the research project "Agile Justice," funded in the Italian National Governance and Institutional Capacity NOP, and validated against real cases. The solution leveraged the Snap4City framework for data management and AI/XAI solution. |
| format | Online |
| id | doab-20.500.12854ir-149586 |
| institution | Directory of Open Access Books |
| language | ita |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1495862025-07-21T15:45:13Z Chapter Valutazione della propensione alla mediazione tramite eXplainable AI nesi, paolo Artificial intelligence decision support system thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNC Company, commercial and competition law: general thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNC Company, commercial and competition law: general Mediation in civil trials can effectively resolve disputes outside of court proceedings, easing the burden on the courts if successful. Efficiency in identifying disputes is essential, as a failed attempt at mediation can lengthen the duration of the trial. The decision rests with the judge/tribunal on the basis of numerous documents that contain certain statements significant to the decision. This paper describes an artificial intelligence, AI, solution to provide a decision support system that can process documents and (i) produce reliable suggestions, (ii) produce substantiated reasons by highlighting the statements that led to the suggestion, and (iii) respect privacy and data security. Explainable AI techniques (XAI) technologies were used for this purpose, resulting in a solution that meets the defined objectives. The solution was developed as part of the research project "Agile Justice," funded in the Italian National Governance and Institutional Capacity NOP, and validated against real cases. The solution leveraged the Snap4City framework for data management and AI/XAI solution. 2025-01-11T08:12:00Z 2025-01-11T08:12:00Z 2024-12-20T12:26:34Z 2023 chapter ONIX_20241220_9791221503166_10 2704-5919 https://library.oapen.org/handle/20.500.12657/96214 9791221503166 https://directory.doabooks.org/handle/20.500.12854/149586 ita Studi e saggi open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/96214/1/40835.pdf Firenze University Press 10.36253/979-12-215-0316-6.13 10.36253/979-12-215-0316-6.13 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221503166 30 Florence open access |
| spellingShingle | Artificial intelligence decision support system thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNC Company, commercial and competition law: general thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNC Company, commercial and competition law: general nesi, paolo Chapter Valutazione della propensione alla mediazione tramite eXplainable AI |
| title | Chapter Valutazione della propensione alla mediazione tramite eXplainable AI |
| title_full | Chapter Valutazione della propensione alla mediazione tramite eXplainable AI |
| title_fullStr | Chapter Valutazione della propensione alla mediazione tramite eXplainable AI |
| title_full_unstemmed | Chapter Valutazione della propensione alla mediazione tramite eXplainable AI |
| title_short | Chapter Valutazione della propensione alla mediazione tramite eXplainable AI |
| title_sort | chapter valutazione della propensione alla mediazione tramite explainable ai |
| topic | Artificial intelligence decision support system thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNC Company, commercial and competition law: general thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNC Company, commercial and competition law: general |
| topic_facet | Artificial intelligence decision support system thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNC Company, commercial and competition law: general thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNC Company, commercial and competition law: general |
| url | ONIX_20241220_9791221503166_10 |
| work_keys_str_mv | AT nesipaolo chaptervalutazionedellapropensioneallamediazionetramiteexplainableai |