Sources Coded for Risk/Benefit Perspectives on Foundation Model Data Transparency
Abstract
This document consists of the corpus of sources examined for sentiment about foundation model data transparency: Morgan Klaus Scheuerman, Wiebke Hutiri, Aida Rahmattalabi, Victoria Matthews, Alice Xiang, and Jerone T. A. Andrews. 2026. Treading the Transparency Tightrope: A Taxonomy of Risks and Benefits of Foundation Model Data Transparency for Transparency Advocates. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI ’26), April 13–17, 2026, Barcelona, Spain. ACM, New York, NY, USA, 43 pages. https://doi.org/10.1145/3772318.3790364
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 23 January 2026
- Language
- EN
- Document type
- Dataset