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Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models. (arXiv:2211.06106v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
In the past few years, Artificial Intelligence (AI) has garnered attention
from various industries including financial services (FS). AI has made a
positive impact in financial services by enhancing productivity and improving
risk management. While AI can offer efficient solutions, it has the potential
to bring unintended consequences. One such consequence is the pronounced effect
of AI-related unfairness and attendant fairness-related harms. These
fairness-related harms could involve differential treatment of individuals; for
example, unfairly denying a loan to certain individuals …
application arxiv credit credit risk risk supervised learning