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-研究人员详细介绍机器学习的新数据。根据新闻报道NewsRx编辑撰写的《纽约城报》，研究表明，“随着黑盒的使用越来越多机器学习在(ML)技术的关键应用中，对方法的需求不断增长可以为模型预测提供透明度和问责制。作为一个结果，大量的本地黑盒模型的解释方法已经开发和推广。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting outof New York City, New York, by NewsRx editors, research stated, “With the increasing use of black-boxMachine Learnin g (ML) techniques in critical applications, there is a growing demand for method s thatcan provide transparency and accountability for model predictions. As a r esult, a large number of localexplainability methods for black-box models have been developed and popularized.”
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