首页|New Findings from University of Pavia Describe Advances in Machine Learning (How Fair Is Machine Learning In Credit Lending?)
New Findings from University of Pavia Describe Advances in Machine Learning (How Fair Is Machine Learning In Credit Lending?)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from Pavia, Italy, by NewsRx journal ists, research stated, “Machine learning models are widely used to decide whethe r to accept or reject credit loan applications. However, similarly to human-base d decisions, they may discriminate between special groups of applicants, for ins tance based on age, gender, and race.” The news correspondents obtained a quote from the research from the University o f Pavia, “In this paper, we aim to understand whether machine learning credit le nding models are biased in a real case study, that concerns borrowers asking for credits in different regions of the United States. We show how to measure model fairness using different metrics, and we explore the capability of explainable machine learning to add further insights.”
PaviaItalyEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Pavia
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