Abstract
In the last five years, the Fintech sector has thrived in India, with Machine Learning (ML) driven credit scoring based on alternative data, emerging as a growing segment. The credit scoring industry in India needs to be viewed in light of a careful examination of rights, inclusion, appropriate safeguards and discrimination, currently missing from the discourse and practices. In this paper, we explain how ML-based credit scoring works, and the regulatory and commercial factors that have enabled and impeded its growth in India. Through legal and technological analysis, richened by insights from qualitative interviews with entrepreneurs and practitioners, we provide a detailed picture of the credit scoring sector, and highlight its spillover privacy and predatory impacts in India.
Recommended Citation
Marda, Vidushi and Sinha, Amber
(2022)
"FinTech Lending in India: Taking Stock of Implications for Privacy and Autonomy,"
Indian Journal of Law and Technology: Vol. 18:
Iss.
1, Article 6.
Available at:
https://repository.nls.ac.in/ijlt/vol18/iss1/6
Included in
Commercial Law Commons, Computer Law Commons, Privacy Law Commons
