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.
翻译:人类与人工智能之间的信任(AI)是一个在人类计算机互动的许多领域都具有影响的问题,目前人工智能问题在于其决策缺乏透明度,文献表明,增加透明度会增加信任。可解释的人工智能能够增加人工智能的透明度,这有可能增加对人类的信任。本文试图利用在可解释和不可解释的人工智能的帮助下预测yelp星级评分的任务,以观察信任是否随着透明度的提高而增加。结果显示,对于这些任务,可解释的人工智能作为一种影响力的衡量标准,提供了显著增加信任的可解释的人工智能。