Do not miss a valuable webinar
Upcoming webinar (21 April): Flexible Copyright Exceptions II – What can we in Europe learn from the US?
The Knowledge Rights 21 project is organising a second webinar on open norms, or rather copyright exceptions and limitations in the form of open norms. This time, the focus will be on the American “fair use” doctrine, which is open principle-based. The webinar aims to understand how “fair use” supports education, research and technological development in ways that inflexible European copyright systems do not.
The webinar will take place on 21 April 2023 at 16:00 CET.
Register via https://us06web.zoom.us/webinar/register/WN_H8B5Ka76QHmN7J3Aqm2Ipw#/registration.
Copyright exceptions and limitations play a crucial role in supporting innovation and scientific progress. In general, there are two approaches. The first is to set out general principles that users (and courts in the context of decision-making) can apply in existing and new situations. The second, which is used in European countries, is to set narrow definitions of exceptions, which allow users to carry out only predefined tasks.
This inflexible approach to lawmaking in Europe brings significant obstacles to education, research and innovation. The fact is that copyright lawmaking is unable to keep pace with technological development, consequently the lack of flexibility in the norms is holding back technological and scientific progress.
What are the possibilities today, in the light of the European tradition, of returning to a more flexible model that encourages innovation, and what can we learn from analysing the American principle?
ODIPI is organizing ERA KR21 Conference: Barriers and Incentives for Open Science in the Copyright Law that will take place on 2 December, 2024 at Hotel Four Points by Sheraton (Mons) in Ljubljana and also online.
The District Court of Hamburg ruled in the case of Kneschke v. LAION e.V. that LAION did not infringe the copyright of photographer Kneschke, as the use of his photograph was covered by the exception for text and data mining (TDM) for scientific purposes.
“Can copyright bring artificial intelligence to its knees? Which other circumstances may cause that the “making” of generative AI can dramatically change in the (near) future. This short paper presents potential challenges that copyright poses to the training of the machines on large amount of data. Different jurisdictions address these issues differently. In the USA the legality of these activities is tested in several court cases. Do gentlemen’s agreements and pragmatic symbiosis known from the “search engines business model” provide sufficient basis and/or incentive for the business model of “making” generative AI business model as well?