This 60-minute forum discusses how ACCEPT-AI can help researchers and developers encode ethical values from the jump, avoiding harmful and embarrassing mistakes. Bioethicist and physician Dr. Alyssa Burgart will discuss ACCEPT-AI, a framework to develop and assess ethical inputs in Artificial Intelligence/Machine Learning (AI/ML-driven) research in pediatric populations.
Research Ethics Forum: ACCEPT-AI - Encoding Ethical Values in AI/ML Research
Ethics & Participant Safety
Alyssa Burgart, MD, MA
Ethicist, Physician, and Clinical Associate Professor of Anesthesiology at Stanford University
Learning Objectives
By the end of this forum, participants will be able to:
- Recognize pediatric algorithmic bias as a unique risk to children.
- Explain the generational impact of using pediatric data in AI/ML algorithms and the alternative impact of excluding children's data.
- Identify how the data included or excluded in training AI/ML algorithms meaningfully impacts end users.