Samuelson, P. (2026). Assessing the feasibility of collective licensing of in-copyright works as training data for generative AI systems. Proceedings of the National Academy of Sciences of the United States of America, 123(30), 1. https://doi.org/10.1073/pnas.2509769122
Chicago Style (17th ed.) CitationSamuelson, Pamela. "Assessing the Feasibility of Collective Licensing of In-copyright Works as Training Data for Generative AI Systems." Proceedings of the National Academy of Sciences of the United States of America 123, no. 30 (2026): 1. https://doi.org/10.1073/pnas.2509769122.
MLA (9th ed.) CitationSamuelson, Pamela. "Assessing the Feasibility of Collective Licensing of In-copyright Works as Training Data for Generative AI Systems." Proceedings of the National Academy of Sciences of the United States of America, vol. 123, no. 30, 2026, p. 1, https://doi.org/10.1073/pnas.2509769122.