Dec 2026· Metaverse Science, Society and Law· 0 citations
Digitalization, Law, and Regulation
Abstract
This article argues for a new class of digital legal subject within AI legal-personhood doctrine — the ‘AI-digital human’ — largely unaddressed in domestic and international legal scholarship. Building on the author’s earlier three-class model of AI legal subjects and the institution of the AI-representative, the article distinguishes two different modules of the AI-digital human: Module 1 (Digiperson), a digital human as a functional reflection of a specific natural person, built on ‘red-group’ identification attributes and digitised access credentials; and Module 2 (autonomous Digihuman), reflecting no real natural person, its attributes formed referentially and tied to a functional role within a digital ecosystem. The article shows that equating a digital human with a natural person in the full scope of rights and obligations is a doctrinal error: legal status should follow an age-based logic (child—adolescent—adult) rather than mirroring the prototype’s status. Drawing on a comparative analysis of Regulation (EU) 2024/1689 (AI Act) and Regulation (EU) 2024/1183 (eIDAS 2.0), the article substantiates the need for a Digital Humans Registry as an institutional legitimation mechanism for both modules, and formulates draft articles for the Ukrainian Law on Artificial Intelligence.
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.
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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