Educating Students and the Public on Using AI and Statistics to Make Decisions

Music City Center 

How do we make choices when faced with a health crisis? Or a natural disaster? AI is being developed and deployed in technology to help us navigate a new route, summarize large collections of documents, or protect our devices using face recognition, but the gap between autonomous decision-making and human decision-making still exists. Moreover, people make decisions under uncertain, dynamic, and resource-constrained circumstances and often incorporate concerns about risk, equity and trust. All concepts grounded in foundational statistics, making our educational programs more important than ever. In this talk, we'll look at the education efforts of the NSF AI Institute for Societal Decision Making (centrally housed at Carnegie Mellon University) to train the public - including K-12, community college, undergraduates, graduate students, and the workforce - to use both AI and statistics as well as understand their potential to positively impact society.

Artificial Intelligence (AI)

Statistical Education

AI Ethics

Workforce Training