Summer Course on International Copyright Law & Policy 2024
In the first week of July 2024, the Summer Course on International Copyright Law and Policy took place in Amsterdam, which was also attended by the young researcher Laura Pipan from ODIPI.
The summer course on international copyright law and policy is organized by the Institute for Information Law (IViR). Young researcher Laura Pipan from ODIPI was awarded a scholarship by the Program on Information Justice and Intellectual Property (PIJIP) to participate in this intensive postgraduate seminar.
During the week, the following guest professors lined up: Martin Senftleben (University of Amsterdam), Daniel Gervais (Vanderbilt University), Elena Izyumenko (University of Amsterdam), João Pedro Quintais (University of Amsterdam), Pamela Samuelson (University of California, Berkeley) , Bernt Hugenholtz (University of Amsterdam), Remy Chavannes (Brinkhof), Severine Dusollier (Sciences Po Paris), Fred von Lohmann (OpenAI), Paul Keller (Open Future) and Sean Flynn (American University, Washington). With very interesting lectures and presentations, they showed both the fundamental features and innovations of copyright law, as legislation and policy in this area are constantly changing, mainly due to the constant development of digital technologies and artificial intelligence, as well as legislative initiatives at the international and European level.
The participant gained insight into the most important current issues of copyright law, which were discussed from a comparative legal perspective and in the light of recent international and regional agreements.
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?