AI Research Summary
Before Human ReviewBased on abstract · Full text not reviewed
This is an abstract-based summary, and the full text was not reviewed. The article comparatively examines how responsibility, ownership, and the burden of proof should be allocated in distributed invention processes involving humans and AI, in a patent system that presumes the inventor to be human. It claims to analyze statutes, case law, patent office guidance, and literature across the United States, the United Kingdom, the EU/Germany, Australia, South Africa, India, China, and some emerging jurisdictions.
Key Points from the Abstract
- It argues that there is a convergence toward sole human inventorship.
- It views disclosure requirements, determinations of contribution, and evidentiary practices as varying by jurisdiction.
- It argues that these differences create transparency gaps and cross-border uncertainty.
Relevance to AI Law and Policy
It comparatively organizes inventorship, disclosure, and evidentiary standards involving AI, offering implications for patent examination and multinational portfolio management.
Limitations to Consider
- This can be confirmed only from the abstract; the full text was not reviewed.
- The detailed methodology and the individual grounds in each jurisdiction are not sufficiently specified in the abstract.
- Limitations not stated in the abstract cannot be identified.
Please compare with the original text before citing or using it in your assessment.
Abstract Preview
Artificial intelligence (AI) is increasingly embedded in invention workflows, yet patent systems continue to define…Read more in the abstract and original text Research Topic
Original text and source
AI Inventorship in Patent Law: Comparative Doctrine, Regulatory Divergence, and Harmonized Reform
The Korean title on this page was translated by AI.- Database
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