How AI helped promote community-led improvement in Rajasthan


The authors designed a pilot project, called AI4WaterPolicy, in the water-stressed Sirohi and Pali districts of Rajasthan. And rather than deploy AI to push information outwards, the project used it to listen.

The authors designed a pilot mission, known as AI4WaterPolicy, within the water-stressed Sirohi and Pali districts of Rajasthan. And reasonably than deploy AI to push data outwards, the mission used it to hear.
| Picture Credit score: Getty Photographs

India is in a synthetic intelligence (AI) second. Throughout agriculture, well being, finance, and governance, the race is on to deploy AI-enabled companies that attain the final mile. Chatbots reply farmer queries. Agentic instruments navigate entitlement schemes. And advisory platforms push the appropriate data to the appropriate particular person (presumably) on the proper time.

Many of those instruments share an analogous logic. Whereas exceptions exist, they’re typically designed across the assumption that communities have an data deficit that AI can fill. However what if that’s not all communities want?