The Current State of Transparency for AI Models and Datasets
Data Science Seminar Series
June 12, 2024 | 11:00 AM – 12:00 PM
Virtual
Join Dr. Aaron Lee from the University of Washington for a presentation on the importance of transparency in data sets used for training artificial intelligence (AI) models and their metadata.
Dr. Lee will:
- discuss the current landscape of artifacts that can enhance AI model transparency,
- provide metadata for data sets, and
- address recent efforts to adopt these tools in the NIH Bridge to Artificial Intelligence (Bridge2AI) program.
The NIH Common Fund’s Bridge2AI program addresses biomedical challenges that are beyond human intuition. The program utilizes both biomedical and behavioral research to develop AI and machine learning (ML) models.
About the Speaker
Aaron Lee, M.D., MSCI
Dr. Lee is an associate professor and vitreoretinal surgeon at the University of Washington’s Department of Ophthalmology.
About the Data Science Seminar Series
CBIIT’s Data Science Seminar Series is dedicating its 2026 events to spotlighting the use of AI in cancer research and care. Brought to you by CBIIT and NCI's Division of Cancer Treatment and Diagnosis AI working group, the upcoming webinars will explore a variety of questions, such as the following:
- How can AI be used for diagnosis, treatment, or omics research?
- What are the related laws and ethical considerations for AI?
- How can we empower an AI-ready cancer research community through workforce development, collaborations, and funding?
To view upcoming speakers or recordings of past presentations, visit the Data Science Seminar Series page.