Modeling Legal Uncertainty in AI-Generated Content Ownership: A Bayesian Network Approach to Intellectual Property Rights Allocation.

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Bibliographic Details
Title: Modeling Legal Uncertainty in AI-Generated Content Ownership: A Bayesian Network Approach to Intellectual Property Rights Allocation.
Authors: Li Y; Faculty of Law, Monash University; yinhanli1988@outlook.com.
Source: Journal of visualized experiments : JoVE [J Vis Exp] 2026 Jun 12 (232). Date of Electronic Publication: 2026 Jun 12.
Publication Type: Journal Article; Video-Audio Media
Journal Info: Publisher: MYJoVE Corporation Country of Publication: United States NLM ID: 101313252 Publication Model: Electronic Cited Medium: Internet ISSN: 1940-087X (Electronic) Linking ISSN: 1940087X NLM ISO Abbreviation: J Vis Exp Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1940-087X
DOI:10.3791/71101