Pre-university students’ perception on algorithmic biases of artificial intelligence

This research focuses on pre-university students’ perceptions of algorithmic biases in artificial intelligence. Six types of biases (generational, gender, functional diversity, ethnicity, geographical origin and economic reasons) are examined on the basis of four variables (age, sex, educational lev...

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Auteur principal: Elba Gutiérrez-Santiuste, Lourdes López-Pérez, Fátima Poza-Vilches, Daniel Molina-Cabrera, Rosana Montes-Soldado and Luis Alcalá
Format: Article
Langue:anglais
Publié: International Forum of Educational Technology & Society 2025-07-01
Collection:Educational Technology & Society
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Accès en ligne:https://www.j-ets.net/collection/published-issues/28_3#h.bkwoc3cl54ah
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