DFL collaborated with GIZ & HSRC to create a capacity-building course - and a handbook on how to replicate it - geared toward policymakers invested in learning more about AI governance.
Much of the scholarship on AI governance is based on the experiences of a few western industrialised economies. This book imagines alternative frameworks for AI governance from the global south
This study examines the data practices entailed in building AI systems for healthcare and agriculture in India.
This piece explores the implications of adopting a risk-based approach to regulating Artificial Intelligence in India.
Alongside ‘problem solving’ approaches that focus on reducing the harm produced by AI, we also need ‘problem diagnosis' approaches that examine how current AI imaginaries & economies have arisen.
This report considers the suitability of a risk-based approach to the governance of AI in the Indian context.
The webinar presents some of the key learnings and recommendations from our research on AI in India, and features a moderated panel discussion on the governance of AI in India.
This report presents an exhaustive study on the current uses of AI in India, reviewing 70+ use cases across 9 key sectors, including policing, agriculture, health, and education.
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