Research Ethics Forum: ACCEPT-AI - Encoding Ethical Values in AI/ML Research


Summary

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.


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.

Video

Instructors

Alyssa Burgart, MD, MA
Ethicist, Physician, and Clinical Associate Professor of Anesthesiology at Stanford University

NIH Funding Acknowledgment: Important - All publications resulting from the utilization of SC CTSI resources are required to credit the SC CTSI grant by including the NIH funding acknowledgment and must comply with the NIH Public Access Policy.