The Radical AI Podcast

A podcast by Radical AI

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91 Episodes

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

    Published: 8/9/2023
  2. Twitter vs. Mastodon with Johnathan Flowers

    Published: 4/26/2023
  3. More than a Glitch, Technochauvanism, and Algorithmic Accountability with Meredith Broussard

    Published: 3/22/2023
  4. The Limitations of ChatGPT with Emily M. Bender and Casey Fiesler

    Published: 3/1/2023
  5. ChatGPT: What is it? How does it work? Should we be excited? Or scared? with Deep Dhillon

    Published: 1/25/2023
  6. Sounds, Sights, Smells, and Senses: Let’s Talk Data with Jordan Wirfs-Brock

    Published: 11/30/2022
  7. How to Stay Safe Online with Seyi Akiwowo

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

    Published: 9/28/2022
  9. Digital Lethargy with Tung-Hui Hu

    Published: 8/31/2022
  10. Should the Government use AI? with Shion Guha

    Published: 7/27/2022
  11. Envisioning a Decolonial Digital Mental Health with Sachin Pendse, Munmun De Choudhury, and Neha Kumar

    Published: 6/29/2022
  12. Visualizing Our Lives Through Data with Jaime Snyder

    Published: 5/25/2022
  13. Let’s Talk About Sex: Digital Pornography and LGBTQIA+ Censorship w/ Alex Monea

    Published: 4/27/2022
  14. New Year, New You: Welcome Back to the Radical AI Podcast

    Published: 4/20/2022
  15. Measurementality #7: Why AI Registries are Critical for Metrics of Accountability with Sara Jordan and Anand Rao

    Published: 12/19/2021
  16. Decolonial AI 101 with Raziye Buse Çetin

    Published: 12/8/2021
  17. Design Justice 101 with Sasha Costanza-Chock

    Published: 11/3/2021
  18. What Causes AI to Fail? with the AI Today Podcast

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

    Published: 10/11/2021
  20. Predicting Mental Illness Through AI with Stevie Chancellor

    Published: 10/6/2021

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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.