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The heady conversations around AI often obscure the data infrastructure that these new technologies depend on. Those making sophisticated generative AI models gobble up data in every crack and crevice in which data can be found. But those data were produced for a purpose in a particular context. And those data take on different meaning in relationship to other data. And behind the scenes, those data are scrubbed and cleaned so that they can shine in the model. So how can we understand the politics and practices of making data? And how can we understand how the extraction of data leads to new kinds of data degradation? In this talk, danah will explore the ecology that has emerged to gobble up data by looking at what kinds of practices and cultural formations are rearranged to make this possible. This talk will weave through different data-rich contexts, including the US Census, social media, search engines, and AI to help us collectively see data in a new light.