Keynote Speakers

This talk delves into the principles, challenges, and opportunities involved in developing AI systems that are genuinely multilingual and culturally aware. As AI technologies increasingly influence global interactions, addressing the linguistic and cultural biases embedded in data, models, and evaluation frameworks becomes crucial. By drawing on examples from projects like Sanmati, Kahaani, and Pariksha, the talk underscores how participatory design and community-centric approaches can reveal nuanced biases and promote inclusive development. Additionally, it examines the role of synthetic datasets such as Updesh and benchmarking efforts like Samiksha in assessing AI across diverse languages and contexts. The session will highlight the significance of culturally contextual AI and the necessity of governance frameworks that reflect the lived realities of users in the Global South.

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