Biases in artificial intelligence models have been studied predominantly through Western lenses, overlooking South Asia’s unique contexts of caste, religion, colourism and representation. This Comment highlights region-specific biases in language and vision models and calls for fairness frameworks grounded in South Asian realities.
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Acknowledgements
This work is supported by the Ministry of Education, Singapore, under its MOE Academic Research Fund Tier 2 (MOE-T2EP20123-0005: ‘Neurosymbolic AI for Commonsense-based Question Answering in Multiple Domains’), and by the RIE2025 Industry Alignment Fund – Industry Collaboration Projects (I2301E0026: ‘Generative AI’), administered by A*STAR, as well as supported by Alibaba Group and NTU Singapore.
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Nadeem, M., Sohail, S.S., Cambria, E. et al. South Asian biases in language and vision models. Nat Mach Intell 7, 1775–1777 (2025). https://doi.org/10.1038/s42256-025-01144-1
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DOI: https://doi.org/10.1038/s42256-025-01144-1
