用可解释的人工智能检验信任和透明度之间的相关性
Examining correlation between trust and transparency with explainable artificial intelligence
摘要：
人与人工智能（AI）之间的信任是一个在人机交互的许多领域都有影响的问题。人工智能目前的问题是其决策缺乏透明度，文献表明，增加透明度会增加信任。可解释的人工智能有能力提高人工智能的透明度，这可能会增加对人类的信任。这篇论文试图在可解释和不可解释的人工智能的帮助下，使用预测Yelp评论星级的任务，看看透明度的增加是否会增加信任。结果表明，对于这些任务，可解释的人工智能提供了显着增加的信任作为影响力的措施。
英文摘要：
Trust between humans and artificial intelligence(AI) is an issue which has implications in many fields of human computer interaction. The current issue with artificial intelligence is a lack of transparency into its decision making, and literature shows that increasing transparency increases trust. Explainable artificial intelligence has the ability to increase transparency of AI, which could potentially increase trust for humans. This paper attempts to use the task of predicting yelp review star ratings with assistance from an explainable and non explainable artificial intelligence to see if trust is increased with increased transparency. Results show that for these tasks, explainable artificial intelligence provided significant increase in trust as a measure of influence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
