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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://doab-dev.siscern.org/handle/20.500.12854/170255
            Keywords
            Human-Technology Relations; Human Computation; Ethnography; AI; Technology; STS; Digitalization; Science; Cultural Anthropology; Sociology of Science; Digital Media; Computer Sciences; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies::JBCT1 Media studies: internet, digital media and society
            DOI
            10.14361/9783839472286
            ISBN
            9783839472286, 9783837672282
            Publisher
            transcript Verlag
            Publisher website
            http://www.transcript-verlag.de
            Publication date and place
            Bielefeld, 2024
            Grantor
            • Ludwig-Maximilians-Universität München
            Series
            Science Studies,
            Pages
            330
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            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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