Criminal liability models and criminal participation in the digital environment: A modern challenge in the perspective of Italian constitutionalism

Author:

Piparo CarloORCID

Abstract

The rapid progression and widespread integration of Information and Communication Technology (ICT) have ushered in a new era of sweeping social and legal transformations. Among the many groundbreaking advancements, Artificial Intelligence has emerged as a pivotal force, permeating nearly every facet of our daily lives. From the realms of commerce and industry to healthcare, transportation, and entertainment, Artificial Intelligence technologies have become indispensable tools shaping the way we interact, work, and navigate the world around us. With its remarkable capabilities and ever-expanding reach, Artificial intelligence stands as a testament to humanity's relentless pursuit of innovation and the boundless potential of technology to revolutionize society. While completing all the tasks they are programmed for, Artificial Intelligence systems can perform actions, which could result in crimes if committed by humans. But crimes follow the reserve of law, therefore can be difficult to criminalize such crimes because of the lack of written law. Nevertheless, in modern legal systems, the structure of crimes doesn't only require the commission of a typical fact, but also the determination to do it. In this scenario, being Artificial Intelligence a non-human entity, the reconstruction of criminal responsibility is particularly difficult to theorize. This is mainly true because of the peculiar nature of the environment the machine lives in: the digital environment is made of a digital reality, and many of its actors (for example algorithms, protocols, and programs) are not even human and can only exist in that reality. This means that in this environment, machines can act, determine themselves and possibly commit crimes with or without a human user. This scenario makes it necessary to analyze Artificial Intelligence crimes in the light of common ones, using the ordinary law discipline. This analysis allows users (lawyers, judges, and scholars) to use three traditional liability models: "the perpetration-via-another", "the natural probable consequence", and "the direct liability". Through these models, users can assess whether the machine committed a crime. Nevertheless, the three liability models supra mentioned open the door to a totally modern scenario: the man-machine concurrence (the concurrence between man and Artificial Intelligence algorithm). In fact, if theorizing the liability of the machine comes with challenges, it is even more complicated to adapt to modern Constitutions the concurrence between the living and the digital. Indeed, it is necessary to assess whether a machine can commit crimes (or it is just an instrument), determine how the machine can concur with a human, and how much responsibility can be addressed to it. This paper wants to analyze the peculiarities of Artificial Intelligence, deconstruct three possible Artificial Intelligence liability models, and, finally, theorize the criminal participation man-machine through the lenses of Italian law.

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Reference31 articles.

1. Lorenzo Algeri, Intelligenza artificiale e polizia predittiva, in Dir. Pen. e Processo, vol. 6, 2021;

2. Fabio Basile, Intelligenza artificiale ediritto penale: quattro possibili percorsi di indagine, in Diritto Penale e Uomo, 2019;

3. Marco Bassini, Laura Liguori, Ooreste Pollicino, Sistemi di Intelligenza Artificiale, responsabilità e accountability. Verso nuovi paradigmi?, in Francesco Pizzetti (edited by), Intelligenza artificiale, protezione dei dati personali e regolazione, 2018;

4. Lorenzo Belenguer, AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry. in AI Ethics, Springer, 2, 4, 2022;

5. Margaret Ann Boden, Intelligenza artificiale, in Jim Al-Khalili (editor), Il futuro che verrà, Bollati Boringhieri, 2018;

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3