132 Epizód

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

    Közzétéve: 2025. 06. 11.

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

    Közzétéve: 2025. 05. 20.

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

    Közzétéve: 2025. 05. 05.

  4. Resisting Predatory Data | Book Talk

    Közzétéve: 2025. 04. 18.

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

    Közzétéve: 2025. 03. 31.

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

    Közzétéve: 2025. 03. 27.

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

    Közzétéve: 2025. 03. 03.

  8. The Taiwan Bottleneck w/ Brian Chen

    Közzétéve: 2025. 02. 24.

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

    Közzétéve: 2024. 11. 19.

  10. Data & Society at 10: Foreseeable Futures

    Közzétéve: 2024. 10. 16.

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

    Közzétéve: 2024. 07. 22.

  12. [Podcast] The Formalization of Social Precarities

    Közzétéve: 2024. 05. 16.

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

    Közzétéve: 2024. 05. 10.

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

    Közzétéve: 2024. 04. 24.

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

    Közzétéve: 2024. 03. 28.

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

    Közzétéve: 2024. 02. 23.

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

    Közzétéve: 2024. 02. 14.

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

    Közzétéve: 2024. 01. 22.

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

    Közzétéve: 2023. 11. 21.

  20. Decoding the AI Executive Order

    Közzétéve: 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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