摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-研究人员详细介绍了机器学习的新数据。根据NewsRx Journali STS在法国图卢兹的新闻报道，研究表明：“不想要的偏见是机器学习中的一个主要问题，当机器学习模型被用于高风险决策系统时，尤其会引起重大的道德问题。减轻这种偏见的一个常见解决方案是整合和优化统计公平指标以及培训阶段的准确性。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Toulouse, France, by NewsRx journali sts, research stated, “Unwanted bias is a major concern in machine learning, rai sing in particular significant ethical issues when machine learning models are d eployed within high-stakes decision systems. A common solution to mitigate it is to integrate and optimize a statistical fairness metric along with accuracy dur ing the training phase.”
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