Webinar KR21: Are flexible copyright exceptions the next step for Europe?
Knowledgerights 21 is organizing a webinar on flexible copyright exceptions from a European perspective that will take place on February 13, 2023, from 11:00 to 12:30.
We tend to associate the civil law systems that dominate in Europe with narrowly defined exceptions, only allowing users to undertake a specific, predefined task. But in fact, traditionally, civil law systems have been characterised as codifying broad and flexible principles into law, giving courts much leeway in their interpretation. It is only over the 20th century, as copyright law has been frequently updated, and the European Union has sought to bring some unity to diverse legal traditions, that much of this openness and flexibility has been lost. Ironically, now it is sometimes even said that open norms are alien to civil law traditions.
The webinar will be chaired by Felix Reda, with speakers prof. Emily Hudson, prof. Chung-Lun Sung and Benjamin White.
You can register here.
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?