摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx Journal Ists在意大利帕维亚的新闻报道，研究表明，“机器学习模型被广泛用于决定接受还是拒绝信贷申请。然而，与基于人类的D决策类似，它们可能会根据年龄、性别和种族对特殊群体的申请进行歧视。”新闻记者从帕维亚大学的研究中引用了一句话：“在本文中，我们旨在了解机器学习信用模型在一个真实案例研究中是否存在偏差，该案例研究涉及美国不同地区的借款人要求信用。我们展示了如何使用不同的度量标准来衡量模型的公平性。”我们还探索了可解释的机器学习的能力，以增加进一步的见解。
Abstract
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.”
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