Google’s $1 Million Grant To IIT Madras Study Bias in AI with Indian Lens


A groundbreaking multidisciplinary Center for Responsible AI will be established at IIT Madras thanks to a $1 million donation from Google, the company announced on Monday. The IIT Madras will perform a study on many elements of bias in artificial intelligence, particularly from an Indian perspective.

Also Read :- Researchers from IIT Madras create and use a wave energy generator off the coast of Tamil Nadu.

According to Manish Gupta, Director of Google Research India, “ will also grant a similar amount to independent non-profit Wadhwani AI to develop efforts to deploy AI models that help with crop disease monitoring, predicting yield outcomes, and bringing efficiency to Kisan call centers.”

What’s behind the $1 Million Grant to IIT Madras?

As part of Google for India 2022, the business also made an announcement about its intention to support the Agri stack as defined by the Indian government by combining remote sensing and artificial intelligence (AI) to address issues with agriculture in a scalable way. According to Gupta, Google will use its AI models to analyze satellite photos in order to recognize details such as farm boundaries, and farm locations, and “also establish an understanding of the agricultural landscape.” In order to better assist policymakers and financial institutions, he stated, “extra analysis like what crop is being cultivated, estimate yield, and so on” will be applied.

Google and the Telangana government have already begun a pilot project on this, and Google has been collaborating with a few businesses to make the base layers for the solutions available. Gupta explained the model’s operation by saying: “We will describe the boundaries and how these are evolving over time. One of our objectives is to be able to identify particular activities using imagery collected over time, such as sowing, harvesting, and even burning of stubble. In order to combine all these talents, he noted, Google employees will cooperate with colleagues who are already anticipating floods and pest outbreaks.

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