Understanding and improving medical AI developers’ knowledge and practices of Ethical AI

AI/ML provides unprecedented opportunities for biomedical researchers, such as the quick identification of the genetic basis of diseases, including Alzheimer’s Disease. However, potential biases in the design and implementation of medical AI studies may lead to problematic findings and contribute to health disparity. While governments, corporations, non-governmental agencies, and bioethicists have laid down the basic ethical principles of AI research, researchers have yet to unpack the specific ethical challenges in medical AI research at the intersection of AI and biomedical research.

This NIH-funded interdisciplinary project seeks to:

1. Develop a scale to measure medical AI researchers’ knowledge of, attitudes towards, and past experiences with ethical deliberation in AI research. This includes their understanding of associated ethical principles, issues in ethical research, as well as explicit and implicit biases in medical research using AI and specifically deep learning.
2. Develop a VR-based, interactive application for education on ethical decision-making medical AI in research.

We will be sharing our findings and publication periodically.