When can I train AI with public content?
David Rosenthal will answer this question in the next 17:15 Colloquium by the ETH Library and gives an insight into the legal framework that should be considered when training AI.
17:15 Colloquium by the ETH Library?
Thursday, 31 October 2024, 17.15?
The (copyright) legal framework for the use of public content for AI training
David Rosenthal, partner at VISCHER, lecturer at the Department of Humanities, Social and Political Sciences, ETH Zurich, lecturer at the Faculty of Law, University of Basel?
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The training of AI models is based on the use of data that will improve the output of the respective models. For this reason, it is important to think about the origin of the data used right from the start. This includes knowing how it was collected, where it was obtained from, and which licence terms are they subject to. Data protection aspects should also be taken into account before the training programme begins: Has the data been sufficiently anonymised, and can the results no longer be traced back to individuals? Of course, you should also be aware of the legal conditions of the data set before feeding it into the AI model.
At the upcoming 17:15 Colloquium by the ETH Library, David Rosenthal will explain on which legal basis published content can be used for the training of AI models, especially large language models, and what needs to be considered. He will place a special focus on questions of copyright and licence agreements.
David Rosenthal has broad experience in advising and representing national and multinational clients in the areas of data protection and other aspects of data law, technology law, AI, eDiscovery, technology arbitration and internal investigations. He studied law at the University of Basel and initially worked as a software developer, ran an independent press office in Basel and provided his own legal advice. In 2001, he joined Homburger, one of the high end Swiss commercial law firms, as counsel, where he became co-head of its IT practice group.
On June 1, 2020, he became partner at?external page VISCHER, one of the leading Swiss business law firms with a particular strong expertise in regulatory and TMT (Technology, Media and Telecommunications) matters. David authored numerous publications on data protection law in Switzerland , is a frequent speaker at events and lectures at the ETH Zurich and the University of Basel. He is secretary of the?external page Association for Corporate Data Protection?(VUD) and the?external page Cross-border eDiscovery Privacy & Investigations Association?(CeDIV) and on the board of the?external page Swiss Forum of Communications Law?(SF-FS).?See?external page here?for Chambers & Partners and?external page here?for Legal 500 comments about him.