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.
In labor parlance, “recognition” is the pathway by which workers become a union. In what other ways can we recognize the value of work — beyond the form it takes? With artists and models finding that generative AI reduces them to their image, their words on a page, notes in a song, and even their measurements, how does this emerging technology diminish the value of workers and their contributions, and how might we recognize it? In this discussion, Enongo Lumumba-Kasongo, Şerife (Sherry) Wong, Sara Ziff, and Aiha Nguyen pry open the black box of generative AI and consider what is lost or appropriated in the process of extraction.
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.
