Fintech lending apps and commercial banks are replacing traditional credit evaluations with automated AI scoring models that analyze smartphone metadata, social contacts, and geographic location. Algorithmic investigations reveal that these opaque models create digital redlining, systematically denying loans to informal workers and residents of specific zip codes.

The Bharat Media Association supports rigorous financial tech reporting. Exposing algorithmic discrimination in credit underwriting ensures commercial lenders and fintech startups cannot mask exclusionary lending practices behind proprietary machine-learning formulas, protecting the public’s right to equitable, transparent financial access.