Mind the Ownership Gap? Copyright in AI-generated Language Data
Paweł Kamocki, Toby Bond, Krister Lindén, Thomas Margoni, Aleksei Kelli, Andrius Puksas · Linköping electronic conference proceedings · 2024
For language scientists, a prima facie advantage of AI-generated data over human-created content is that AI outputs are generally regarded as free from copyright. This contribution addresses this issue in some detail.