摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。据新闻报道NewsRx编辑从英国坎特伯雷报道，研究称，“算法的使用”基于机器学习模型的决策系统导致了对公平（Unbiase D）和可解释的分类结果。特别是，机器学习算法可以编码偏差，可能会导致某些群体的歧视性决定，如性别、种族或年龄。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Canterbury, United K ingdom, by NewsRx editors, research stated, “The use of algorithmicdecision-mak ing systems based on machine learning models has led to a need for fair (unbiase d) andexplainable classification outcomes. In particular, machine learning algo rithms can encode biases, whichmight result in discriminatory decisions for cer tain groups such as gender, race, or age.”
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