Generative AI is trained on vast amounts of data. The current practice of collecting the data to train such models rarely includes considerations about copyright and intellectual property rights. While the models themselves and the data they are trained on are often multilingual and multinational, legal requirements and rules vary between jurisdictions. Open questions remain not just about the input data used to train Generative AI, but also about the artifacts it produces, and which rules apply to them (these can include in how far the output is a derivative of existing, specific rules that apply to AI systems (e.g. AI Act), general rules, e.g. with regard to trademarks).
The online workshop series on Generative AI and Copyright Law aims to facilitate discussions among researchers and practitioners in law and computer science. The series will consist of one-hour online workshop sessions featuring two 20-minute talks (plus 10-minute Q&A).
We invite talks from a broad range of topics, please check the call for contributions for details.
