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Translation by infosws 文章摘要：尽管AI前途广阔，但在发展过程中也遇到了一些发展痛点。如果人们不知道AI是如何做出决策的，那么人们就不会信任AI。 尽管AI前途广阔，但在发展过程中也遇到了一些发展痛点。除了笔者在之前文章中提及过的偏见问题，还有一个“黑匣子”问题：如果人们不知道AI是如何做出决策的，那么人们就不会信任AI。 事实上，缺乏信任是很多AI技术失败的关键，如IBM Watson，尤其是Watson for Oncology。 专家们很快就知道了问题所在。“IBM尝试向癌症医生推广他们的超级计算机程序，但是这是一个公关灾难，”谷歌UX研究人员兼 Avantgarde Analytics的创始人Vyacheslav Polonski（博士）说道：“Watson for Oncology的问题仅仅在于医生并不信任它。” 当Watson的结果和外科医生得出的结果一致时，它能够证实这一情况；当Watson的结果和医生的不一致时，医生只会认为它是错误的。 如果医生知道它是如何做出结论的，那么结果可能会大相径庭。“对于大多数人来说，AI的决策过程通常都是很难理解的，”Polonski说道：“和我们不理解的事物互动会导致人们产生焦虑，就好像我们失控了。” Read the entire article at http://headline.infosws.cn/20180917/11529.html
