Data Usability as a Parameter of Rights and Obligations under the EU Data Act
In: Max Planck Institute for Innovation & Competition Research Paper No. 24-04
3 Ergebnisse
Sortierung:
In: Max Planck Institute for Innovation & Competition Research Paper No. 24-04
SSRN
In: Max Planck Institute for Innovation & Competition Research Paper No. 21-18
SSRN
In: GRUR international: Journal of European and International IP Law, Band 71, Heft 4, S. 295-321
ISSN: 2632-8550
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.