132 Avsnitt

  1. Challenging AI Hype and Tech Industry Power | Book Talk

    Publicerades: 2025-06-11

  2. What is Work Worth? Exploring What Generative AI Means for Workers’ Lives and Labor | Keynote Event

    Publicerades: 2025-05-20

  3. [Live] The Cloud is Dead: Living with Legacies of Resource Extraction

    Publicerades: 2025-05-05

  4. Resisting Predatory Data | Book Talk

    Publicerades: 2025-04-18

  5. AI Assistant or AI Boss? w/ Data & Society

    Publicerades: 2025-03-31

  6. Connective (t)Issues: Stories of Digitality, Infrastructures, and Resistance | Public Panel

    Publicerades: 2025-03-27

  7. [Databite No. 161] Red Teaming Generative AI Harm

    Publicerades: 2025-03-03

  8. The Taiwan Bottleneck w/ Brian Chen

    Publicerades: 2025-02-24

  9. Living in the Shadow of AI and Data (Code Dependent by Madhumita Murgia) | Network Book Forum

    Publicerades: 2024-11-19

  10. Data & Society at 10: Foreseeable Futures

    Publicerades: 2024-10-16

  11. [Databite 160] Black Maternal Health is in Crisis. Can Technology Help?

    Publicerades: 2024-07-22

  12. [Podcast] The Formalization of Social Precarities

    Publicerades: 2024-05-16

  13. [Databite 159] Doing the Work: Therapeutic Labor, Teletherapy, and the Platformization of Mental Health Care

    Publicerades: 2024-05-10

  14. [Databite 158] Adaptation | Generative AI's Labor Impacts

    Publicerades: 2024-04-24

  15. What's Trust Got To Do With It? | 'Trust Issues' Workshop Public Panel

    Publicerades: 2024-03-28

  16. Data In/Visibility (Queer Data Studies) | Network Book Forum

    Publicerades: 2024-02-23

  17. [Databite No. 157] Recognition | Generative AI's Labor Impacts

    Publicerades: 2024-02-14

  18. [Databite No. 156] Hierarchy | Generative AI's Labor Impacts

    Publicerades: 2024-01-22

  19. Caring for Digital Remains | Tamara Kneese and Tonia Sutherland | Network Book Forum

    Publicerades: 2023-11-21

  20. Decoding the AI Executive Order

    Publicerades: 2023-11-08

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Presenting timely conversations about the purpose and power of technology that bridge our interdisciplinary research with broader public conversations about the societal implications of data and automation. For more information, visit datasociety.net.

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