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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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.
Developers claim generative AI will have sweeping impacts that transform work as we know it, creating new opportunities for workers and unleashing dramatic waves of creativity. But this technology will not affect everyone equally: Societal biases and embedded hierarchies that inform who and what type of work is valuable will also influence how generative AI is rolled out and who benefits from it. In this first conversation of a three part series, John Lopez, Milagros Miceli, and Russell Brandom join Data & Society's Labor Futures Program Director Aiha Nguyen to interrogate these layers of issues around Generative AI technology; consider how it scaffolds on previous economic models, structures, and modes of employment; and explore its impacts on workers across the globe.
Data & Society
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.
