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        At the Edge of AI

        Human Computation Systems and Their Intraverting Relations

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        Author(s)
        Veprek, Libuse Hannah
        Language
        English
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        Abstract
        How are human computation systems developed in the field of citizen science to achieve what neither humans nor computers can do alone? Through multiple perspectives and methods, Libuse Hannah Veprek examines the imagination of these assemblages, their creation, and everyday negotiation in the interplay of various actors and play/science entanglements at the edge of AI. Focusing on their human-technology relations, this ethnographic study shows how these formations are marked by intraversions, as they change with technological advancements and the actors' goals, motivations, and practices. This work contributes to the constructive and critical ethnographic engagement with human-AI assemblages in the making.
        URI
        https://library.oapen.org/handle/20.500.12657/93010
        Keywords
        Human-Technology Relations; Human Computation; Ethnography; AI; Technology; STS; Digitalization; Science; Cultural Anthropology; Sociology of Science; Digital Media; Computer Sciences
        DOI
        10.14361/9783839472286
        ISBN
        9783839472286, 9783839472286, 9783837672282
        Publisher
        transcript Verlag
        Publisher website
        https://www.transcript-verlag.de/
        Publication date and place
        Bielefeld, 2024
        Grantor
        • Ludwig-Maximilians-Universität München - [...]
        Series
        Science Studies,
        Classification
        Social and cultural anthropology
        Impact of science and technology on society
        Media studies: internet, digital media and society
        Pages
        330
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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