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  1. Between world models and model worlds: on generality, agency, and worlding in machine learning.Konstantin Mitrokhov - forthcoming - AI and Society:1-13.
    The article offers a discursive account of what generality in machine learning research means and how it is constructed in the development of general artificial intelligence from the perspectives of cultural and media studies. I discuss several technical papers that outline novel architectures in machine learning and how they conceive of the “world”. The agency to learn and the learning curriculum are modulated through worlding (in the sense of setting up and unfolding of the world for artificial agents) in machine (...)
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  • A Bourdieusian theory on communicating an opinion about AI governance.Brett Binst, Tuba Bircan & Annelien Smets - forthcoming - AI and Society:1-43.
    This paper examines an often overlooked yet significant threat to survey validity and epistemic justice: the unequal communication of opinion. We discuss research that signals the presence of this threat when studying public opinion about AI. Furthermore, we apply Bourdieu’s theoretical framework as a potential explanation of the inequality in communicating an opinion about AI. We describe this inequality and test our explanation by performing a multilevel analysis on four questions about AI governance from the Eurobarometer 92.3 and two questions (...)
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