Our guest in this episode is Ryan Hanscom. Ryan is a Ph.D. candidate in a joint doctoral evolution program at San Diego State University and the University of California, Riverside. He is a terrestrial ecologist with a focus on herpetology and mammalogy. Ryan discussed how the behavior of rattlesnakes is studied in the natural world, particularly with an increase in temperature.
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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