Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. Computable AGI

    Publié: 03/07/2023
  2. AGI Can Be Safe

    Publié: 26/06/2023
  3. AI Fails on Theory of Mind Tasks

    Publié: 19/06/2023
  4. AI for Mathematics Education

    Publié: 12/06/2023
  5. Evaluating Jokes with LLMs

    Publié: 06/06/2023
  6. Why Machines Will Never Rule the World

    Publié: 29/05/2023
  7. A Psychopathological Approach to Safety in AGI

    Publié: 23/05/2023
  8. The NLP Community Metasurvey

    Publié: 15/05/2023
  9. Skeptical Survey Interpretation

    Publié: 10/05/2023
  10. The Gallup Poll

    Publié: 01/05/2023
  11. Inclusive Study Group Formation at Scale

    Publié: 25/04/2023
  12. The PhilPapers Survey

    Publié: 21/04/2023
  13. Non-Response Bias

    Publié: 10/04/2023
  14. Measuring Trust in Robots with Likert Scales

    Publié: 03/04/2023
  15. CAREER Prediction

    Publié: 27/03/2023
  16. The Panel Study of Income Dynamics

    Publié: 21/03/2023
  17. Survey Design Working Session

    Publié: 14/03/2023
  18. Bot Detection and Dyadic Surveys

    Publié: 06/03/2023
  19. Reproducible ESP Testing

    Publié: 20/02/2023
  20. A Survey of Data Science Methodologies

    Publié: 13/02/2023

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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.

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