论文标题

AAAI-FSS 2020的AI-HRI研讨会论文集

Proceedings of the AI-HRI Symposium at AAAI-FSS 2020

论文作者

Bagchi, Shelly, Wilson, Jason R., Ahmad, Muneeb I., Dondrup, Christian, Han, Zhao, Hart, Justin W., Leonetti, Matteo, Lohan, Katrin, Mead, Ross, Senft, Emmanuel, Sinapov, Jivko, Zimmerman, Megan L.

论文摘要

自2014年以来,人工智能互动(HRI)研讨会一直是一个成功的讨论与协作场所。在当时的机器人技术的相关主题一直在迅速增长,随着全球大学和实验室的重大研究工作。确实,过去的许多AI-HRI参与者已经或现在参与了对HRI信任的研究。尽管信任没有共识的定义,但它经常与可预测性,可靠性,煽动信心和满足期望相关联。此外,人们普遍认为,信任对于采用AI和机器人技术至关重要,尤其是在将技术从实验室转换为工业,社会和消费者应用时。但是,信任如何适用于我们在AI-HRI领域遇到的特定情况?对人工智能的信任概念与HRI中的概念相同吗?我们看到对研究的需求日益增长,该研究直接存在于该研讨会服务的AI和HRI的交汇处。在为期两天的会议过程中,我们建议建立一个协作论坛,讨论当前对AI-HRI的信任工作,并将其介绍集中在HRI的可解释AI(XAI)的相关主题上。

The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Symposium has been a successful venue of discussion and collaboration since 2014. In that time, the related topic of trust in robotics has been rapidly growing, with major research efforts at universities and laboratories across the world. Indeed, many of the past participants in AI-HRI have been or are now involved with research into trust in HRI. While trust has no consensus definition, it is regularly associated with predictability, reliability, inciting confidence, and meeting expectations. Furthermore, it is generally believed that trust is crucial for adoption of both AI and robotics, particularly when transitioning technologies from the lab to industrial, social, and consumer applications. However, how does trust apply to the specific situations we encounter in the AI-HRI sphere? Is the notion of trust in AI the same as that in HRI? We see a growing need for research that lives directly at the intersection of AI and HRI that is serviced by this symposium. Over the course of the two-day meeting, we propose to create a collaborative forum for discussion of current efforts in trust for AI-HRI, with a sub-session focused on the related topic of explainable AI (XAI) for HRI.

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