학술논문

Explainable Artificial Intelligence for Agile Mediation Propensity Assessment
Document Type
Periodical
Source
IEEE Access Access, IEEE. 12:37782-37798 2024
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Mediation
Law
Europe
Data models
Explainable AI
Feature extraction
Decision support systems
Artificial intelligence
explainable AI
mediation propensity assessment
decision support system
shortening justice procedures
Language
ISSN
2169-3536
Abstract
Italian Justice has recently added mechanisms to exploit mediation process. One of the most critical aspects is a reliable identification of litigations which can be successfully mediated outside court procedures. The decision is under responsibility of a judge/court who has to read hundreds of pages and several documents, to be able to take a decision on the basis of few statements. This paper describes both an artificial intelligence solution and a tool to provide a decision support system which could process documents and be capable to: (i) produce reliable suggestions, (ii) produce circumstantiated motivations, thus highlighting statements which could support identified suggestion focusing the work of any judge/court on actual statements and documents with relevant facts, and (iii) provide a web based tool producing suggestions and motivations on demand at service of the involved court and judges, compliant with privacy and security, as to data. To this end, AI and eXplainable AI technologies have been used and a solution has been obtained which meets the above-mentioned objectives and many other detailed requirements. Such a solution has been developed in the context of the research project “Giustizia Agile”, funded by the Italian National PON Governance and Institutional Capacity, and validated against real cases. The solution has exploited the Snap4City framework for data and AI/XAI management.