QUALIFICATION OF CRIMES COMMITTED USING ARTIFICIAL INTELLIGENCE: ISSUES OF CRIMINAL LAW ASSESSMENT
DOI:
https://doi.org/10.5281/zenodo.17809216Abstract
The exponential advancement of artificial intelligence technologies has precipitated unprecedented challenges to established criminal law doctrines, fundamentally questioning the conceptual foundations upon which criminal liability has been traditionally constructed. The integration of autonomous and semi-autonomous AI systems into various spheres of human activity necessitates a comprehensive reexamination of conventional approaches to criminal qualification, particularly regarding the attribution of mens rea, the establishment of causal connections, and the identification of appropriate subjects of criminal responsibility [1]. Contemporary legal scholarship has increasingly recognized that existing criminal law frameworks, predicated upon anthropocentric conceptions of agency and intentionality, prove inadequate when confronted with the operational realities of machine learning algorithms and autonomous decision-making systems [2].
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