Math and Statistics
Interpretable and Explainable AI and Machine Learning: Symposium on 6/21
Advances in artificial intelligence could improve how we make decisions for a broad array of applications, such as healthcare or urban planning. However, practitioners need to understand and trust how complex machine learning systems make choices before these new tools can be more widely adopted.
Please join the National Academies for a symposium on Interpretable and Explainable AI and Machine Learning on Tuesday, June 21 from 1-4pm ET. During the symposium, expert speakers will discuss the possibilities and challenges of interpretable machine learning across a variety of applications, including cognitive science, healthcare, and policy. The symposium will conclude with a moderated panel on the future landscape of interpretable and ethical machine learning.
The event will be livestreamed and open to a limited number of in-person participants in Washington, DC.