Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. Facial Recognition Auditing

    Published: 6/19/2020
  2. Robust Fit to Nature

    Published: 6/12/2020
  3. Black Boxes Are Not Required

    Published: 6/5/2020
  4. Robustness to Unforeseen Adversarial Attacks

    Published: 5/30/2020
  5. Estimating the Size of Language Acquisition

    Published: 5/22/2020
  6. Interpretable AI in Healthcare

    Published: 5/15/2020
  7. Understanding Neural Networks

    Published: 5/8/2020
  8. Self-Explaining AI

    Published: 5/2/2020
  9. Plastic Bag Bans

    Published: 4/24/2020
  10. Self Driving Cars and Pedestrians

    Published: 4/18/2020
  11. Computer Vision is Not Perfect

    Published: 4/10/2020
  12. Uncertainty Representations

    Published: 4/4/2020
  13. AlphaGo, COVID-19 Contact Tracing and New Data Set

    Published: 3/28/2020
  14. Visualizing Uncertainty

    Published: 3/20/2020
  15. Interpretability Tooling

    Published: 3/13/2020
  16. Shapley Values

    Published: 3/6/2020
  17. Anchors as Explanations

    Published: 2/28/2020
  18. Mathematical Models of Ecological Systems

    Published: 2/22/2020
  19. Adversarial Explanations

    Published: 2/14/2020
  20. ObjectNet

    Published: 2/7/2020

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The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.