Beyond Categories of Caste: Examining Caste Bias and Morality in Text-to-Image AI Models
Text-to-Image (T2I) models have shown promising utility across various domains. However, such models are also amplifying harmful societal biases in their outputs. In the context of South Asia, recent work has shown caste biases and stereotypes are being perpetuated through Generative AI (GenAI) systems. While this research offers extremely relevant insight into invisibilized narratives of caste discrimination through the GenAI system, they often treat caste as an identity category. Therefore, in this work we shift our ontology to focus on the relational aspect of caste. This enables us to develop a more nuanced understanding of the mechanics of caste discrimination by and through T2I mode...
| Authors | Divyanshu Kumar Singh, Dipto Das, Deepika Rama Subramanian et al. |
|---|---|
| Primary category | cs.CY |
| Published | 28 April 2026 |
| Last updated at source | 28 April 2026 |
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