论文标题

AI-HRI为人类感知的AI带来了新的维度

AI-HRI Brings New Dimensions to Human-Aware Design for Human-Aware AI

论文作者

Freedman, Richard G.

论文摘要

自2014年AAAAI秋季研讨会系列举行的第一个AI-HRI以来,许多提出的研究和讨论都强调了人工智能(AI)的发展如何使人类机器人互动受益(HRI)。这将HRI描述为一种应用程序,是针对AI社区的特定领域问题的来源。同样,这将AI描绘为一种工具,是HRI社区可用于相关问题的解决方案的来源。但是,AI-HRI研究社区的成员将指出,这种关系比对接问题和解决方案具有更深的协同作用 - 每个领域的见解都会影响对方对世界的看法并进行科学研究。目前,没有比人类意识的AI更有机会分享观点了,该观点研究如何说明人们不仅仅是数据源或算法的一部分。我们将探讨AI-HRI如何改变研究人员对人类意识的AI的看法,从观察到验证,甚至使算法设计过程变得人类感知。

Since the first AI-HRI held at the 2014 AAAI Fall Symposium Series, a lot of the presented research and discussions have emphasized how artificial intelligence (AI) developments can benefit human-robot interaction (HRI). This portrays HRI as an application, a source of domain-specific problems to solve, to the AI community. Likewise, this portrays AI as a tool, a source of solutions available for relevant problems, to the HRI community. However, members of the AI-HRI research community will point out that the relationship has a deeper synergy than matchmaking problems and solutions -- there are insights from each field that impact how the other one thinks about the world and performs scientific research. There is no greater opportunity for sharing perspectives at the moment than human-aware AI, which studies how to account for the fact that people are more than a source of data or part of an algorithm. We will explore how AI-HRI can change the way researchers think about human-aware AI, from observation through validation, to make even the algorithmic design process human-aware.

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