A Primer on Mitigating Gender Biases in LLMs: Insights from the Indian Context

This guidebook is the key outcome of our research on gender bias in large language models (LLMs), bringing together key insights, recommendations, and tools in a structured and accessible format. It succinctly presents the gender-related concerns at each of the lifecycle stages along with key examples and anecdotes from the field. The guide offers practical recommendations for developers to integrate gender equity into their applications, alongside broader, system-level strategies for institutional actors shaping the Indian LLM ecosystem.

Learn more about the project and other research outputs here.