Computational research techniques such as text and data mining (TDM) hold tremendous opportunities for researchers across the disciplines ranging from mining scientific articles to create better systematic reviews, or curated chemical property datasets to building a corpus of films to understand how concepts of gender, race, and identity are shared over time. Unfortunately, legal uncertainty, whether through copyright or restrictive terms of use can stifle this research. Recent copyright lawsuits, such as the high-profile cases brought against Microsoft, Github, and StabiltyAI underscore the legal complications.
So how can fair use allow for computational research techniques? Join us for this Fair Use Week webinar, co-sponsored with the the Library Copyright Institute, to find out!
Wednesday, February 28, 2024
1pm – 2:30pm ET / 10am – 11:30 PT
Register here
We’ve written quite a bit about fair use in TDM and AI for research applications already, and the topic is certainly complicated. Join us for this event to hear live from legal experts and researchers. We plan to include substantial time for Q&A, so bring your questions! Panelists include:
- Dave Hansen, Executive Director, Authors Alliance
- Rachael Samberg, Scholarly Communications Officer, UC Berkeley
- Lauren Tilton, Claiborne Robins Professor of Liberal Arts and Digital Humanities, University of Richmond
