ARTIFICIAL INTELLIGENCE HELPS JUDGES: SIVILLI (PESCARA UNIVERSITY), “TOWARDS A PLATFORM” | Current news

ARTIFICIAL INTELLIGENCE HELPS JUDGES: SIVILLI (PESCARA UNIVERSITY), “TOWARDS A PLATFORM” | Current news
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PESCARA – An artificial intelligence platform intended to support the work of administrative magistrates who can still control and delimit their actions: it is one of the projects financed under the Pnrr and has been cited as a virtuous example, among initiatives of this kind, by Salvatore Deiddapresident of the Transport, Post and Telecommunications Commission at the Chamber of Deputies, introducing the panel ‘The challenge of artificial intelligence – Opportunities and responsibilities to be shared’ during the programmatic conference of Fratelli d’Italia held last weekend in Pescara.

“We are creating an artificial intelligence platform that includes specific projects – he explains to ANSA Franco Sivilli, Director General for IT resources and statistics of the Council of State – There are various tasks that we are carrying out, from the pseudo anonymization of jurisdictional provisions to the search for precedents and similar appeals. They all denote the attribution to this technology of an instrumental role, supporting the judge and the secretariat staff, without any impact on the decision-making activity, exclusively entrusted to the magistrates. A fundamental element – ​​specifies Sivilli – is that the platform we are creating is subjected to particular control and supervision measures without any use of text generating technologies”. In practice, once developed and put into operation, the platform will make it possible to cross-reference and compare appeals and sentences, but never to produce other measures autonomously and without ever prevailing, however, on human intervention. “Moreover – adds Sivilli, who is also a contract professor of Computer Science at the “G. d’Annunzio” Chieti-Pescara – attention is not being neglected for the environmental impact profiles, through processes of mitigating the impacts in terms of energy consumption”.

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