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Algorithmic Bias in Rural Credit: NHRC Intervenes to Protect Tribal Rights

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The National Human Rights Commission (NHRC) has issued a notice to MeitY regarding AI-driven credit scoring models that disproportionately exclude tribal communities, highlighting the risks of historical biases in digital governance.

The National Human Rights Commission (NHRC) has taken suo motu cognizance of reports indicating that Artificial Intelligence (AI)-driven credit scoring models used in rural areas are systematically excluding tribal communities. By issuing a notice to the Ministry of Electronics and Information Technology (MeitY), the NHRC has underscored a critical challenge in the era of digital governance: the 'black box' of algorithmic discrimination. At the heart of the issue is the reliance of FinTech algorithms on historical data. If the training data reflects decades of socio-economic marginalization or a lack of formal banking history among Scheduled Tribes, the AI model perceives these groups as high-risk. This creates a self-perpetuating cycle of financial exclusion, where those most in need of credit are denied it based on automated, non-transparent criteria. The NHRC emphasized that digital governance must incorporate safeguards to ensure that technological 'objectivity' does not become a mask for systemic prejudice.

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