This introduction presents the fifth volume of a series started twelve years ago: the AI Approaches to the Complexity of Legal Systems (AICOL). The introduction revises the recurrently addressed topics of technology, Artificial Intelligence and law and presents new challenges and areas of research, such as the AI ethical and legal turn, hybrid and conflictive intelligences, regulatory compliance and AI explainability. Other domains not yet fully explored include the regulatory models of the Web of Data and the Internet of Things that integrate legal reasoning and legal knowledge modelling.

Introduction: A Hybrid Regulatory Framework and Technical Architecture for a Human-Centered and Explainable AI

Palmirani, Monica;Araszkiewicz, Michał;Sartor, Giovanni
2021

Abstract

This introduction presents the fifth volume of a series started twelve years ago: the AI Approaches to the Complexity of Legal Systems (AICOL). The introduction revises the recurrently addressed topics of technology, Artificial Intelligence and law and presents new challenges and areas of research, such as the AI ethical and legal turn, hybrid and conflictive intelligences, regulatory compliance and AI explainability. Other domains not yet fully explored include the regulatory models of the Web of Data and the Internet of Things that integrate legal reasoning and legal knowledge modelling.
AI Approaches to the Complexity of Legal Systems XI-XII
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LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Rodríguez-Doncel, Víctor; Palmirani, Monica; Araszkiewicz, Michał; Casanovas, Pompeu; Pagallo, Ugo; Sartor, Giovanni
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/843065
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