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Trends in Intellectual Property Research
Article . 2024 . Peer-reviewed
License: CC BY
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Article . 2023
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Patent Landscape for ChatGPT

Authors: Zia‑Ul‑Haq, Muhammad; Mujtaba, Ghulam;

Patent Landscape for ChatGPT

Abstract

This research analyses the effect of patent regime on ChatGPT and proposes possible explanations to avoid these concerns. Intellectual property rights in general and patents in particular are very importance in the innovation ecosystem. Since ChatGPT is being increasingly used in patent perspectives suggesting various solutions, naturally there should be mechanisms to cope with its implications. At a broader level, ChatGPT can accelerate preparation of patent application, prior art search, and patent examination slashing costs and time while minimizing the system mistakes. ChatGPT can assist patent attorneys work more professionally and make more precise diagnoses, thus improving their productivity. It, however, is also raising concerns in stakeholders regarding various legal issues. New legal tools are needed to understand the development, regulation, and implementation of ChatGPT in patent regime to harness the tremendous possibilities of transformation for the better. Legislators and technical experts should join hands to formulate policies that balance the innovation and protect the rights of inventors.

Keywords

ChatGPT, Person Skilled the Art, Patent Attoreny, Patent Examination, Patents

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average