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pro vyhledávání: '"Patick Washington"'
Autor:
Ziheng Song, Shafiq Ur Rehman, Chun PingNg, Yuan Zhou, Patick Washington, Ricardo Verschueren
Publikováno v:
Journal of Applied Economics, Vol 27, Iss 1 (2024)
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, exace
Externí odkaz:
https://doaj.org/article/f55d9c78e2d5430d9968ae67833da4bd
