IDEAS home Printed from https://ideas.repec.org/h/spr/fuobcp/978-3-031-73639-1_5.html

Patent, Still a Leading Indicator in AI Technology Innovation?

In: Tech Transformation and AI Readiness

Author

Listed:
  • Shirley Tang

    (University Canada West)

Abstract

With significant investments and exponential growth in the global AI market, the importance of patents as an indicator of innovation outputs has become more pronounced. However, the rise of AI-generated inventions poses new challenges to the existing patent system. The research delves into the patentability of AI inventions, with a focus on the Dr. Thaler and DABUS case, which questioned whether AI can be recognized as an inventor. This case has ignited global discussions on the ownership of AI-generated inventions and other disclosure requirements in IP systems. Additionally, we explore alternative appropriability strategies rather than patenting. The research highlights the need for a balanced and efficient patent system that fosters continuous innovation in the era of autonomous AI rather than incites a patent racing between humans and machines, which seems to open Pandora’s box.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-73639-1_5
DOI: 10.1007/978-3-031-73639-1_5
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Keywords

;
;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:fuobcp:978-3-031-73639-1_5. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.