91 Avsnitt

  1. Measurementality #5: Intergenerational Collaboration with Sinead Bovell

    Publicerades: 2021-09-19
  2. Indigenous AI 101 with Jason Edward Lewis

    Publicerades: 2021-09-08
  3. Casteist Technology and Digital Brahminism with Thenmozhi Soundararajan and Seema Hari

    Publicerades: 2021-06-18
  4. Measurementality #4: What are we Optimizing for? with Laura Musikanski and Jonathan Stray

    Publicerades: 2021-06-16
  5. Feminist AI 101 with Eleanor Drage and Kerry Mackereth

    Publicerades: 2021-06-02
  6. Decentralizing AI with Divya Siddarth

    Publicerades: 2021-05-27
  7. Killer Robots and Value Sensitive Design with Steven Umbrello

    Publicerades: 2021-05-05
  8. Measurementality #3: Counting Mental Health and Caregiving in Technology and AI

    Publicerades: 2021-05-02
  9. Design, Disability, Creativity, and Accessibility with Cynthia Bennett

    Publicerades: 2021-04-21
  10. Atlas of AI with Kate Crawford

    Publicerades: 2021-04-07
  11. Defining Bias with Su Lin Blodgett

    Publicerades: 2021-03-31
  12. Measurementality #2: Children's Data and Sustainability

    Publicerades: 2021-03-21
  13. Your Computer Is on Fire with Mar Hicks & Kavita Philip

    Publicerades: 2021-03-10
  14. All Tech is Human Series #9 - Misinformation & Free Expression with Jasmine McNealy & Claire Wardle

    Publicerades: 2021-03-03
  15. Social Inequality in the Digital Economy with Zanele Munyikwa

    Publicerades: 2021-02-24
  16. Measurementality #1: Defining What Counts in the Algorithmic Age

    Publicerades: 2021-02-14
  17. Anti-Trust: Congress and the Tech Lobby with Anna Lenhart

    Publicerades: 2021-02-10
  18. All Tech is Human Series #8 - Improving Social Media: Content Moderation & Democracy with Sarah T. Roberts & Murtaza Shaikh

    Publicerades: 2021-01-27
  19. Ability and Accessibility in AI with Meredith Ringel Morris

    Publicerades: 2021-01-20
  20. 2020 Hindsight: The Radical AI Podcast New Years Spectacular!

    Publicerades: 2020-12-30

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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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