2021

Re-imagining Algorithmic Fairness in India and Beyond

Sambasivan, Nithya, Arnesen, Erin, Hutchinson, Ben et al.

Understand

Conventional algorithmic fairness is West-centric, as seen in its sub-groups, values, and methods.

In this paper, we de-center algorithmic fairness and analyse AI power in India.
Based on 36 qualitative interviews and a discourse analysis of algorithmic deployments in India, we find that several assumptions of algorithmic fairness are challenged.
We find that in India, data is not always reliable due to socio-economic factors, ML makers appear to follow double standards, and AI evokes unquestioning aspiration.

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