Inventorship in AI-Assisted Inventions: Designing an Experiment to Shape Case Law
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Abstract (arXiv)
The latest improvements in artificial intelligence (AI) raise new challenges for intellectual property laws, particularly concerning the inventorship issue in AI-assisted inventions - that is, those in which AI is used in the inventive process. While most jurisdictions allow only a natural person to be considered the inventor, the question of how to deal with AI-assisted inventions remains relevant. Namely, what is the nature and contribution of AI tools in an AI-assisted invention that would prevent a human from being recognized as its inventor? The main challenge in addressing this question is the lack of case law on the issue. It is reasonable to assume that with the development of AI and the growing interest in its use in the inventive process, new cases will naturally arise, which in turn will harmonize and address the inventorship issue in AI-assisted inventions to some extent. However, this process will take significant time and may not keep pace with the rapid development of AI, nor fully address the new problems that arise alongside AI advancements. This research proposes the conditions of an experiment to create relevant case law. This experiment could be initiated by society, involving stakeholders specializing in AI. The article also proposes a methodology for conducting the experiment and selecting cases that best reflect the current state of AI use in the inventive process. Conducting such an approach will help identify the most effective methods for measuring human contribution to AI-assisted inventions when determining inventorship.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 40 references that are in the map. First posted on arXiv 15 May 2026.
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References · 4
- 2021Dynabench: Rethinking Benchmarking in NLPcited by 447
- 2024InstructPatentGPT: Training patent language models to follow instructions with human feedbackcited by 17
- 2024It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Humancited by 5
- 2024From PARIS to LE-PARIS: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Modelscited by 3
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