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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Bibliographic Details
Main Author: Elba Gutiérrez-Santiuste, Lourdes López-Pérez, Fátima Poza-Vilches, Daniel Molina-Cabrera, Rosana Montes-Soldado and Luis Alcalá
Format: Article
Language:English
Published: International Forum of Educational Technology & Society 2025-07-01
Series:Educational Technology & Society
Subjects:
Online Access:https://www.j-ets.net/collection/published-issues/28_3#h.bkwoc3cl54ah
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