Oct 2026· Fiat Justisia: Jurnal Ilmu Hukum· 0 citations· 2 references
Digitalization, Law, and Regulation
Abstract
The rapid development of Artificial Intelligence (AI) has created new challenges for criminal law, particularly regarding liability for offenses committed through autonomous AI systems. This study examines the legal position of ai within criminal law and develops an appropriate model of criminal liability for AI-related offenses. Using normative legal research with statutory, conceptual, theoretical, and interpretative approaches, the study finds that ai should not be recognized as an independent subject of criminal law but as a functional component of the corporate structure. Because AI operates within systems designed, controlled, and deployed by corporations, offenses committed through AI should be attributed to the responsible corporation and addressed under the existing corporate criminal liability framework. Corporate fault should be assessed through failures in the design, control, supervision, and governance of AI systems. This approach closes potential accountability gaps, preserves legal certainty, and enables criminal law to address AI-related risks without creating a new legal subject.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
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An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
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This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
