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 M.;Pagallo U.;
2021-01-01

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.
2021
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Springer Science and Business Media Deutschland GmbH
13048
1
11
978-3-030-89810-6
978-3-030-89811-3
AICOL workshops; Artificial intelligence and law; Ethics; Human rights; Internet of Things; LegalXML; Privacy; Rule of law; Semantic web; Web of linked data
Rodriguez-Doncel V.; Palmirani M.; Araszkiewicz M.; Casanovas P.; Pagallo U.; Sartor G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1889610
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