Algorithmic affordances for responsible recommender systemsin education

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Název: Algorithmic affordances for responsible recommender systemsin education
Autoři: van Rossen, Suzanne, Van der Stappen, Esther, Smits, Aletta
Rok vydání: 2025
Témata: Algorithmic Affordances, Beroepspraktijk En Maatschappij, Design, Education, Entrepreneurship, Gezondheid, Health, Human-Ai Interaction, Human-Computer Interaction, Ict &Amp; Media, Ict And Media, Interactie Tussen Mens En Computer, Language, Culture And Arts, Mens En Maatschappij, Ondernemerschap, Onderwijs, People And Society, Professional Practice undefined Society, Recommender Systems, Responsible Ai, Science, Taal, Cultuur undefined Kunsten, Techniek, Technology, Wetenschap
Popis: Discussion of how algorithmic affordances in educational recommender systems can help create responsible AI, but how they also potentially introduce new ethical problems
Druh dokumentu: conference Object
Jazyk: Dutch; Flemish
Přístupová URL adresa: https://research.hanze.nl/nl/activities/37916b03-70e7-4c60-9843-9cbf6cf849fa
https://research.hanze.nl/ws/files/70019061/Recommender_systems_presentatie_-_ICT_OPEN_-_opmaak_-_v6.pptx
https://ictopen.nl/track-responsible-applied-ai-in-society-and-education
Dostupnost: http://www.hbo-kennisbank.nl/en/page/hborecord.view/?uploadId=hanze_pure_rest:37916b03-70e7-4c60-9843-9cbf6cf849fa
Přístupové číslo: edshbo.hanze.pure.rest.37916b03.70e7.4c60.9843.9cbf6cf849fa
Databáze: HBO Kennisbank
Popis
Abstrakt:Discussion of how algorithmic affordances in educational recommender systems can help create responsible AI, but how they also potentially introduce new ethical problems