Tracking Machine Learning Bias Creep in Traditional and Online Lending Systems with Covariance Analysis

Author:

Pavón Pérez Ángel1ORCID,Fernandez Miriam1ORCID,Al-Madfai Hasan2ORCID,Burel Grégoire1ORCID,Alani Harith1ORCID

Affiliation:

1. The Open University, United Kingdom

2. Visa Europe, United Kingdom

Publisher

ACM

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4. [ 4 ] Kirsten  MM Beyer , Yuhong Zhou , Kevin Matthews , Amin Bemanian , Purushottam  W Laud , and Ann  B Nattinger . 2016. New spatially continuous indices of redlining and racial bias in mortgage lending: links to survival after breast cancer diagnosis and implications for health disparities research. Health & place 40 ( 2016 ), 34–43. [4] Kirsten MM Beyer, Yuhong Zhou, Kevin Matthews, Amin Bemanian, Purushottam W Laud, and Ann B Nattinger. 2016. New spatially continuous indices of redlining and racial bias in mortgage lending: links to survival after breast cancer diagnosis and implications for health disparities research. Health & place 40 (2016), 34–43.

5. [ 5 ] Concha Bielza and Larrañaga Pedro . 2021. Data-driven computational neuroscience: machine learning and statistical models . Cambridge University Press , 226–261. [5] Concha Bielza and Larrañaga Pedro. 2021. Data-driven computational neuroscience: machine learning and statistical models. Cambridge University Press, 226–261.

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