Proceedings of the 2026 3rd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2026)

The Structural Dilemma of AI-Driven Cybercrime

——The Dilution of Responsibility

Authors
Jibing Liu1, Ran Xu2, *
1College of Liberal Arts and Social Sciences, City University of Hong Kong, Hong Kong, China
2Faculty of Law, The University of Macau, Macau, China
*Corresponding author.
Corresponding Author
Ran Xu
Available Online 12 May 2026.
DOI
10.2991/978-94-6239-672-2_67How to use a DOI?
Keywords
Artificial Intelligence; Cybercrime; Criminal Responsibility; AI Literacy; Governance Mechanisms
Abstract

AI-driven cybercrime has led to a dilution of criminal responsibility along the chain of attribution. This dilution manifests at three levels: the spatiotemporal separation between conduct and consequence at the causal level; the opacity of causal chains at the subjective level; and the pluralization of responsible subjects at the attributable level. The traditional framework of criminal liability, grounded in the subjective element, objective element, and subject qualification, faces significant evidentiary challenges in the context of AI-driven cybercrime. Mainstream criminological theories have not entirely lost their explanatory power; however, certain underlying assumptions require targeted adjustments. These include the deterrence target presupposed by rational choice theory, and the guardianship capacity embedded in routine activity theory. This article proposes an analytical framework centered on the “dilution of responsibility” and, on this basis, advances a multi-tiered governance scheme. At the level of criminal law, it suggests introducing an algorithmic product liability regime modeled on product liability doctrine. At the administrative law level, it advocates for the establishment of mandatory security assessment mechanisms. In civil law, it proposes no-fault liability remedies for victims. At the level of social governance, it emphasizes AI literacy as a foundational means of reducing victim vulnerability. The theoretical contribution of this study lies in conceptualizing the impact of artificial intelligence on cybercrime as a structural dilution of responsibility rather than a fundamental transformation of the nature of crime, thereby providing constructive insights for both theoretical analysis and institutional design.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 3rd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
12 May 2026
ISBN
978-94-6239-672-2
ISSN
2352-5428
DOI
10.2991/978-94-6239-672-2_67How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Jibing Liu
AU  - Ran Xu
PY  - 2026
DA  - 2026/05/12
TI  - The Structural Dilemma of AI-Driven Cybercrime
BT  - Proceedings of the 2026 3rd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2026)
PB  - Atlantis Press
SP  - 675
EP  - 685
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-672-2_67
DO  - 10.2991/978-94-6239-672-2_67
ID  - Liu2026
ER  -