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    Do FinTech algorithms reduce gender inequality in banks loans? A quantitative study from the USA

    Do FinTech algorithms reduce gender inequality in banks loans? A quantitative study from the USA by Ziheng Song, Shafiq Ur Rehman, Chun PingNg, Yuan Zhou, Patick Washington, Ricardo Verschueren

    Published 2024-12-01

    The potential of FinTech algorithms to decrease gender bias in credit decisions is limited by the impartiality of the data used to train them. If the data is partial or biased, the algorithmic decision-making process may also be discriminatory, exacerbating existing inequalities. In this study, the...

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