At the Edge of AI - Human Computation Systems and Their Intraverting Relations

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.

Info autore

Libuše Hannah Veprek (Dr. M.Sc.) ist wissenschaftliche Mitarbeiterin am Ludwig-Uhland-Institut für Empirische Kulturwissenschaft der Eberhard Karls Universität Tübingen. Die Kulturwissenschaftlerin und Informatikerin promovierte an der Ludwig-Maximilians-Universität München im Rahmen des von Johannes Moser und ihr verantworteten DFG-Projekts 'Spielend ¿in the Loop¿' (2021-2024). Zu ihren Forschungsschwerpunkten gehören Digitale Anthropologie, Anthropologie der Technik, Science and Technology Studies, Moralanthropologie und Ethik der Technologie sowie digitale Methoden.

Dettagli sul prodotto

• Autori: Libuse Hannah Veprek
• Editore: Transcript
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.07.2024
• EAN: 9783837672282
• ISBN: 978-3-8376-7228-2
• Pagine: 330
• Dimensioni: 159 mm x 22 mm x 241 mm
• Peso: 570 g
• Illustrazioni: 1 schw.-w. u. 10 farb. Abb.
• Serie: Science Studies
• Categorie: Scienze sociali, diritto, economia > Etnologia > Demologia; Scienze umane, arte, musica > Scienze umane, tematiche generali; Wissenschaft, Technologie und Gesellschaft, Technology, Digitalization, Digital Media, Cultural Anthropology, AI, Science, Sociology of Science, Ethnography, Computer Sciences, STS, Human-Technology Relations, Human Computation