Our guest in this episode is Sebastien Motsch, an assistant professor at Arizona State University, working in the School of Mathematical and Statistical Science. He works on modeling self-organized biological systems to understand how complex patterns emerge.
Self-Explaining AI
Plastic Bag Bans
Self Driving Cars and Pedestrians
Computer Vision is Not Perfect
Uncertainty Representations
AlphaGo, COVID-19 Contact Tracing and New Data Set
Visualizing Uncertainty
Interpretability Tooling
Shapley Values
Anchors as Explanations
Mathematical Models of Ecological Systems
Adversarial Explanations
ObjectNet
Visualization and Interpretability
Interpretable One Shot Learning
Fooling Computer Vision
Algorithmic Fairness
Interpretability
NLP in 2019
The Limits of NLP
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