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  1. Minding the gap(s): public perceptions of AI and socio-technical imaginaries.Laura Sartori & Giulia Bocca - 2023 - AI and Society 38 (2):443-458.
    Deepening and digging into the social side of AI is a novel but emerging requirement within the AI community. Future research should invest in an “AI for people”, going beyond the undoubtedly much-needed efforts into ethics, explainability and responsible AI. The article addresses this challenge by problematizing the discussion around AI shifting the attention to individuals and their awareness, knowledge and emotional response to AI. First, we outline our main argument relative to the need for a socio-technical perspective in the (...)
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  • Galactica’s dis-assemblage: Meta’s beta and the omega of post-human science.Nicolas Chartier-Edwards, Etienne Grenier & Valentin Goujon - forthcoming - AI and Society:1-13.
    Released mid-November 2022, Galactica is a set of six large language models (LLMs) of different sizes (from 125 M to 120B parameters) designed by Meta AI to achieve the ultimate ambition of “a single neural network for powering scientific tasks”, according to its accompanying whitepaper. It aims to carry out knowledge-intensive tasks, such as publication summarization, information ordering and protein annotation. However, just a few days after the release, Meta had to pull back the demo due to the strong hallucinatory (...)
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