GPAI Innovation Workshops 2024
On May 22 and 23, 2024, the second GPAI Innovation Workshops took place in Paris, in which Dr. Maja Bogataj Jančič participated as an expert in the field of data governance, who also co-chaired the Data Governance Working Group at The Global Partnership on Artificial Intelligence (GPAI) in 2020-2023.
The French National Institute for Research in Digital Science and Technology (Inria) organized workshops around three subject areas: the AI Safety, the Democratization of AI resources, and the Environment and Sustainable Agriculture. The wide range of participants consisted of GPAI experts from 24 countries, member representatives from 15 countries, other invited experts and guests, and a highly engaged organizational team.
Intensive work has led to promising conclusions, such as: creating a common framework for advanced artificial intelligence (AI) systems; open-source toolkit; increasing cultural representation in Large Language Models (LLMs); improving the working conditions of data workers; creating conditions for governments to spread the knowledge about AI; achieving data sharing AI equity; creating and sharing AI educational materials for unions and workers; including and empowering people to create and use of AI; facilitating sustainable precision agriculture and empowering farmers with AI for sustainable agriculture and food systems.
You can watch a short video of the event at the link.
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?