摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。根据NewsRx记者在中华民国上海的新闻报道，研究表明："复杂机器学习模型的可解释性在自动驾驶等安全关键领域变得越来越重要。在这种背景下，反事实解释(CE)作为可解释人工智能的有效解释方法，发挥了重要作用。"
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated, “The explainabil ity of complex machine-learning models is becoming increasingly significant in s afety-critical domains such as autonomous driving. In this context, counterfactu al explanation (CE), as an effective explainability method in explainable artifi cial intelligence, plays an important role.”
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