Generative AI is a uniquely public technology. The large language models behind ChatGPT and other tools that generate text and images is a major development in publicity as much as technology. Without public data and public participations, these large models could not be trained. Without the attention, hype, and hope around these technologies, the big AI firms probably could not afford the computational costs to train these models. Our special issue questions how Critical AI Studies can attend to the publics, publicities, and publicizations of generative AI.
About the journal
JDSR seeks to publish high-quality original research within all fields of social sciences interacting with digital issues. Social science is defined broadly to include, inter alia, sociology, informatics, pedagogy, education science, gender studies, law, economy, social work and geography. We welcome submissions from neighbouring research fields if they are relevant to a social science audience. Learn more →
JDSR is supported by a strong international editorial board of leading researchers in the field and is run by genuinely nice people.
Journal of Digital Social Research (JDSR) | ISSN (Online) 2003-1998
Published by DIGSUM (Centre for Digital Social Research), Umeå University, under the terms of a CC BY-SA License
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