October 3, 2025Open Access

Designing Culturally Aligned AI Systems For Social Good in Non-Western Contexts

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Research identifies key factors affecting AI system design in non-western contexts, implying human resources are essential for social good.

AI systems can better address social challenges in non-western contexts by integrating cultural and contextual factors.
The study identifies six factors influencing AI development: language, domain, demography, institution, task, and safety.
Collaboration between AI developers and domain experts is crucial, with the study showing that human resources are more vital than tech expertise.
The research presents a framework for designing equitable AI systems that cater to the specific needs of diverse communities.

Dennison et al. (2025) studied this question.

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Research identifies key factors affecting AI system design in non-western contexts, implying human resources are essential for social good.