132 Episodio

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

    Pubblicato: 11/06/2025

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

    Pubblicato: 20/05/2025

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

    Pubblicato: 05/05/2025

  4. Resisting Predatory Data | Book Talk

    Pubblicato: 18/04/2025

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

    Pubblicato: 31/03/2025

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

    Pubblicato: 27/03/2025

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

    Pubblicato: 03/03/2025

  8. The Taiwan Bottleneck w/ Brian Chen

    Pubblicato: 24/02/2025

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

    Pubblicato: 19/11/2024

  10. Data & Society at 10: Foreseeable Futures

    Pubblicato: 16/10/2024

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

    Pubblicato: 22/07/2024

  12. [Podcast] The Formalization of Social Precarities

    Pubblicato: 16/05/2024

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

    Pubblicato: 10/05/2024

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

    Pubblicato: 24/04/2024

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

    Pubblicato: 28/03/2024

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

    Pubblicato: 23/02/2024

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

    Pubblicato: 14/02/2024

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

    Pubblicato: 22/01/2024

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

    Pubblicato: 21/11/2023

  20. Decoding the AI Executive Order

    Pubblicato: 08/11/2023

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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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