Data Communities for Inclusion
Can responsible artificial intelligence (AI) data platforms boost economic opportunities for women agricultural workers in India?
Women agricultural workers in India face significant challenges in getting a fair price for their produce, and in accessing the market, forcing dependence on middle agents. Lack of literacy and access to technology prevents the flow of information vital to their success and growth as workers.
Over the next three years, CIFAR’s first Solution Network will develop an open-access data infrastructure platform that will help women agricultural workers in India gain fair access to a competitive marketplace.
The international, interdisciplinary Network with members from India, Canada, Finland, Switzerland, and the U.K, will work with grassroots organizations to identify and remove technological barriers faced by women workers, including known barriers such as digital literacy and access to mobile phones. A data infrastructure platform will enable women agricultural workers to use machine learning algorithms to tap into rich data insights, such as tracking supply and demand for produce, predicting production costs, comparing market models and predicting competitive pricing. These insights will promote equitable economic opportunities for women agricultural workers in India.
To support other organizations and communities in developing marketplaces that are equitable and fair, the Network will design an open-access toolkit that can be adapted and reused.
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