CANLEX//ATLAS · Prépublication ou document de travail
· English
Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review (Preprint)
AUTEURS> Charlene Chu; Simon Donato-Woodger; Shehroz Khan; Tianyu Shi; Kathleen Leslie ; Samira Abbasgholizadeh-Rahimi; Rune Nyrup; Amanda Grenier
2023 · 2023-10-11
Texte intégral gratuit ↗ DOI 10.2196/preprints.53564
RÉSUMÉ
Research suggests that digital ageism i.e., age-related bias, in artificial intelligence (AI) is present in the development and deployment of machine learning models. … Lire le résumé complet à la source
MOTS-CLÉS DE L'AUTEUR> age; ageing; ageism; aging; algorithm; algorithmic bias; artificial intelligence; bias; digital ageism; elder; elderly; geriatric; gerontology; machine learning; older adult; older people; older person; review methodology; review methods; scoping; search; searching; synthesis
VÉRIFICATION Notice de publication vérifiée · 2026-10-07