Intelligenza artificiale e cibersicurezza: profili informatico-giuridici, fra vulnerabilità delle macchine e delle persone. Analizza i profili informatico-giuridici della cibersicurezza nell'intelligenza artificiale, esplorando minacce e vulnerabilità di sistemi e persone nella società algoritmica.
Il contributo discute le principali questioni di ciberiscurezza dei sistemi di Intelligenza Artificiale (IA) in una prospettiva informatico-giuridica. Premesso un succinto inquadramento normativo anche su concetti basilari della sicurezza informatica, vengono dapprima analizzate le principali minacce che incombono attualmente sui sistemi informatici e di IA, tenendo conto che quest’ultimi sono anche sistemi informatici. Viene poi discussa la vulnerabilità degli agenti artificiali e umani nella Società algoritmica, delineandone criticità e possibili evoluzioni.
The article, "Intelligenza artificiale e cibersicurezza: profili informatico-giuridici, fra vulnerabilità delle macchine e delle persone," addresses a highly pertinent and complex intersection of Artificial Intelligence, cybersecurity, and law. The abstract indicates a comprehensive discussion of cybersecurity issues pertaining to AI systems, uniquely framed within an "informatico-giuridica" (computer-legal) perspective. By setting out with a succinct normative framework and foundational cybersecurity concepts, the paper establishes a solid basis for its subsequent analysis, promising to illuminate the intricate challenges at the confluence of these rapidly evolving fields. The methodology outlined appears structured and logical. The contribution first promises an analysis of current threats impacting both traditional IT systems and, by extension, AI systems, acknowledging their inherent overlap. Crucially, it then extends this analysis to a more nuanced discussion concerning the "vulnerabilità degli agenti artificiali e umani nella Società algoritmica." This latter part, focusing on the criticalities and evolutions of vulnerabilities in both AI entities and human actors within an algorithm-driven society, suggests a deep dive into the socio-technical dimensions of AI cybersecurity, moving beyond purely technical considerations to incorporate human factors and societal implications. This interdisciplinary approach, bridging technical cybersecurity threats with legal frameworks and the vulnerabilities of both machines and people, is a significant strength of the proposed work. The article is poised to be highly valuable for a diverse readership, including legal scholars, cybersecurity professionals, policymakers, and ethicists grappling with the governance of AI. By explicitly addressing the dual vulnerabilities of artificial agents and human users within the algorithmic age, the paper appears to offer a timely and critical contribution to understanding and mitigating the multifaceted risks posed by advanced AI systems.
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