About: The AI Reading Group from Women in AI & Robotics gives researchers a platform to share their work and highlight current research topics in AI. By creating a space for direct dialogue between researchers and the community, we aim to demystify leading innovations, provide a space for interdisciplinary discussions, and allow for deeper engagement with emerging research.

Event: AI Reading Group session with authors of Consent in Crisis: The Rapid Decline of the AI Data Commons

Date: November 14, 2024

Time: 12pm EST | 9am PST | 18:00 CET

Research Paper: Consent in Crisis: The Rapid Decline of the AI Data Commons

Paper Author Affiliations: Data Provenance Initiative

Presenters: Shayne Longpre, Ariel N. Lee, Campbell Lund

Shayne Longpre’s research is at the intersection of AI and policy: responsibly training, evaluating, and governing general-purpose AI systems. He leads the Data Provenance Initiative, led the Open Letter on A Safe Harbor for Independent AI Evaluation & Red Teaming, and has contributed to training models like Bloom, Aya, and Flan-T5/PaLM. His work has received Best Paper Awards from ACL 2024, and NAACL 2024, as well as coverage by the NYT, Washington Post, Atlantic, 404 Media, Vox, and MIT Tech Review.

Ariel N Lee is a generative AI research scientist specializing in multimodal and large language models. At Raive, she is developing multimedia foundation models with IP attribution. Her work includes co-leading the Platypus LLM project, which achieved state-of-the-art performance in open-source models, and contributing to the Data Provenance Initiative, analyzing AI data access restrictions. With an M.Sc. in electrical and computer engineering from Boston University, she focuses on efficient model refinement, data quality, diffusion, and open-source AI development. She is committed to advancing AI through collaborative research that addresses both technical innovations and ethical considerations.

Campbell Lund is a graduate of Wellesley College where she received her BS in Computer Science. Her research interests lie in how technology intersects with society, and she has been collaborating with the Data Provenance Initiative to conduct large-scale audits of the data used to train large language models. Campbell is currently pursuing her MSc in Data and Artificial Intelligence Ethics at the Edinburgh Futures Institute where she plans to continue exploring themes of algorithmic justice and advocating for human-in-the-loop approaches to the development and deployment of AI.