A social approach to artificial intelligence systems for people with Down syndrome : a qualitative systematic review
Dellunde i Clavé, Pilar (Institut d'Investigació en Intel·ligència Artificial)
Moyà-Köhler, Joan (Universitat Autònoma de Barcelona)

Data:	2025
Descripció:	37 pàg.
Resum:	Objectives: This review was conducted by an interdisciplinary team with the aim of producing insights that are relevant to researchers, practitioners, and organizations supporting individuals with Down Syndrome. Methods: A qualitative systematic review was conducted following PRISMA 2020 guidelines. 47 peer-reviewed studies (2014-2024) were selected from four major databases, focusing on implementations of Artificial Intelligence (AI) systems involving individuals with Down Syndrome. Results: Findings show that AI applications targeted mainly the areas of education, communication, emotional regulation, mobility, and employment. Most systems used deep learning or intelligent robots. However, participatory design approaches were not widely adopted, and real-world deployment remained limited. Conclusions: A shift toward more participatory, rights-based approaches is essential to ensure these technologies support autonomy and inclusion.
Ajuts:	European Commission 101007627 Agencia Estatal de Investigación PID2022-139835NB-C21 Agencia Estatal de Investigación PID2022-141950OB-I00
Nota:	Altres ajuts: Spanish project TSI-100929-2023-2
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Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Artificial intelligence ; Down Syndrome ; Inclusion ; Participatory design ; Systematic review
Publicat a:	International Journal of Developmental Disabilities, Published online 27 Sep 2025, ISSN 2047-3877

DOI: 10.1080/20473869.2025.2561165

Disponible a partir de: 2026-09-27

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