91 Avsnitt

  1. Stay Radical: A Final Goodbye from Dylan and Jess

    Publicerades: 2023-08-09
  2. Twitter vs. Mastodon with Johnathan Flowers

    Publicerades: 2023-04-26
  3. More than a Glitch, Technochauvanism, and Algorithmic Accountability with Meredith Broussard

    Publicerades: 2023-03-22
  4. The Limitations of ChatGPT with Emily M. Bender and Casey Fiesler

    Publicerades: 2023-03-01
  5. ChatGPT: What is it? How does it work? Should we be excited? Or scared? with Deep Dhillon

    Publicerades: 2023-01-25
  6. Sounds, Sights, Smells, and Senses: Let’s Talk Data with Jordan Wirfs-Brock

    Publicerades: 2022-11-30
  7. How to Stay Safe Online with Seyi Akiwowo

    Publicerades: 2022-10-26
  8. Data Privacy and Women’s Rights with Rebecca Finlay

    Publicerades: 2022-09-28
  9. Digital Lethargy with Tung-Hui Hu

    Publicerades: 2022-08-31
  10. Should the Government use AI? with Shion Guha

    Publicerades: 2022-07-27
  11. Envisioning a Decolonial Digital Mental Health with Sachin Pendse, Munmun De Choudhury, and Neha Kumar

    Publicerades: 2022-06-29
  12. Visualizing Our Lives Through Data with Jaime Snyder

    Publicerades: 2022-05-25
  13. Let’s Talk About Sex: Digital Pornography and LGBTQIA+ Censorship w/ Alex Monea

    Publicerades: 2022-04-27
  14. New Year, New You: Welcome Back to the Radical AI Podcast

    Publicerades: 2022-04-20
  15. Measurementality #7: Why AI Registries are Critical for Metrics of Accountability with Sara Jordan and Anand Rao

    Publicerades: 2021-12-19
  16. Decolonial AI 101 with Raziye Buse Çetin

    Publicerades: 2021-12-08
  17. Design Justice 101 with Sasha Costanza-Chock

    Publicerades: 2021-11-03
  18. What Causes AI to Fail? with the AI Today Podcast

    Publicerades: 2021-10-15
  19. Measurementality #6: Authentic Accountability for Successful AI with Yoav Schlesinger

    Publicerades: 2021-10-11
  20. Predicting Mental Illness Through AI with Stevie Chancellor

    Publicerades: 2021-10-06

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Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.

Visit the podcast's native language site