Clarifying Assumptions About Artificial Intelligence Before Revolutionising Patent Law

Kim, D., Alber, M., Kwok, M. W., MitroviĆ, J., Ramirez-Atencia, C., Rodriguez Perez, J. and Zille, H. (2022) Clarifying Assumptions About Artificial Intelligence Before Revolutionising Patent Law. GRUR International, 71(4), pp. 295-321. (doi: 10.1093/grurint/ikab174)

Abstract

Abstract This paper examines several widespread assumptions about artificial intelligence, particularly machine learning, that are often taken as factual premises in discussions on the future of patent law in the wake of ‘artificial ingenuity’. The objective is to draw a more realistic and nuanced picture of the human-computer interaction in solving technical problems than where ‘intelligent’ systems autonomously yield inventions. A detailed technical perspective is presented for each assumption, followed by a discussion of pertinent uncertainties for patent law. Overall, it is argued that implications of machine learning for the patent system in its core tenets appear far less revolutionary than is often posited.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Rodriguez Perez, Dr Jesus
• Authors: Kim, D., Alber, M., Kwok, M. W., MitroviĆ, J., Ramirez-Atencia, C., Rodriguez Perez, J., and Zille, H.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: GRUR International
• Publisher: Oxford University Press
• ISSN: 2632-8623
• ISSN (Online): 2632-8550
• Published Online: 14 February 2022
• Copyright Holders: Copyright © 2022 Oxford University Press
• First Published: First published in GRUR International 71(4): 295-321
• Publisher Policy: Reproduced under a Creative Commons License