Self-Explaining AI
Dan Elton joins us to discuss self-explaining AI. What could be better than an interpretable model? How about a model wich explains itself in a conversational way, engaging in a back and forth with th...
2 Mai 202032min
Plastic Bag Bans
Becca Taylor joins us to discuss her work studying the impact of plastic bag bans as published in Bag Leakage: The Effect of Disposable Carryout Bag Regulations on Unregulated Bags from the Journal of...
24 Apr 202034min
Self Driving Cars and Pedestrians
We are joined by Arash Kalatian to discuss Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning.
18 Apr 202030min
Computer Vision is Not Perfect
Computer Vision is not Perfect Julia Evans joins us help answer the question why do neural networks think a panda is a vulture. Kyle talks to Julia about her hands-on work fooling neural networks. Jul...
10 Apr 202026min
Uncertainty Representations
Jessica Hullman joins us to share her expertise on data visualization and communication of data in the media. We discuss Jessica's work on visualizing uncertainty, interviewing visualization designers...
4 Apr 202039min
AlphaGo, COVID-19 Contact Tracing and New Data Set
Announcing Journal Club I am pleased to announce Data Skeptic is launching a new spin-off show called "Journal Club" with similar themes but a very different format to the Data Skeptic everyone is use...
28 Mar 202033min
Visualizing Uncertainty
20 Mar 202032min
Interpretability Tooling
Pramit Choudhary joins us to talk about the methodologies and tools used to assist with model interpretability.
13 Mar 202042min
