The Radical AI Podcast

En podkast av Radical AI

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91 Episoder

  1. Measurementality #5: Intergenerational Collaboration with Sinead Bovell

    Publisert: 19.9.2021
  2. Indigenous AI 101 with Jason Edward Lewis

    Publisert: 8.9.2021
  3. Casteist Technology and Digital Brahminism with Thenmozhi Soundararajan and Seema Hari

    Publisert: 18.6.2021
  4. Measurementality #4: What are we Optimizing for? with Laura Musikanski and Jonathan Stray

    Publisert: 16.6.2021
  5. Feminist AI 101 with Eleanor Drage and Kerry Mackereth

    Publisert: 2.6.2021
  6. Decentralizing AI with Divya Siddarth

    Publisert: 27.5.2021
  7. Killer Robots and Value Sensitive Design with Steven Umbrello

    Publisert: 5.5.2021
  8. Measurementality #3: Counting Mental Health and Caregiving in Technology and AI

    Publisert: 2.5.2021
  9. Design, Disability, Creativity, and Accessibility with Cynthia Bennett

    Publisert: 21.4.2021
  10. Atlas of AI with Kate Crawford

    Publisert: 7.4.2021
  11. Defining Bias with Su Lin Blodgett

    Publisert: 31.3.2021
  12. Measurementality #2: Children's Data and Sustainability

    Publisert: 21.3.2021
  13. Your Computer Is on Fire with Mar Hicks & Kavita Philip

    Publisert: 10.3.2021
  14. All Tech is Human Series #9 - Misinformation & Free Expression with Jasmine McNealy & Claire Wardle

    Publisert: 3.3.2021
  15. Social Inequality in the Digital Economy with Zanele Munyikwa

    Publisert: 24.2.2021
  16. Measurementality #1: Defining What Counts in the Algorithmic Age

    Publisert: 14.2.2021
  17. Anti-Trust: Congress and the Tech Lobby with Anna Lenhart

    Publisert: 10.2.2021
  18. All Tech is Human Series #8 - Improving Social Media: Content Moderation & Democracy with Sarah T. Roberts & Murtaza Shaikh

    Publisert: 27.1.2021
  19. Ability and Accessibility in AI with Meredith Ringel Morris

    Publisert: 20.1.2021
  20. 2020 Hindsight: The Radical AI Podcast New Years Spectacular!

    Publisert: 30.12.2020

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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.

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