The Eye of the Robot Beholder: Ethical Risks of Representation, Recognition, and Reasoning over Identity Characteristics in Human-Robot Interaction

T. Williams
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Abstract

Significant segments of the HRI literature rely on or promote the ability to reason about human identity characteristics, including age, gender, and cultural background. However, attempting to handle identity characteristics raises a number of critical ethical concerns, especially given the spatiotemporal dynamics of these characteristics. In this paper I question whether human identity characteristics can and should be represented, recognized, or reasoned about by robots, with special attention paid to the construct of race, due to its relative lack of consideration within the HRI community. As I will argue, while there are a number of well-warranted reasons why HRI researchers might want to enable robotic consideration of identity characteristics, these reasons are outweighed by a number of key ontological, perceptual, and deployment-oriented concerns. This argument raises troubling questions as to whether robots should even be able to understand or generate descriptions of people, and how they would do so while avoiding these ethical concerns. Finally, I conclude with a discussion of what this means for the HRI community, in terms of both algorithm and robot design, and speculate as to possible paths forward.
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机器人观察者之眼:人机交互中身份特征的表征、识别和推理的伦理风险
人力资源研究文献的重要部分依赖或促进推理人类身份特征的能力,包括年龄、性别和文化背景。然而,试图处理身份特征引起了一些关键的伦理问题,特别是考虑到这些特征的时空动态。在本文中,我质疑人类的身份特征是否可以而且应该由机器人来代表、识别或推理,并特别关注种族的构建,因为它在HRI社区中相对缺乏考虑。正如我将要论证的那样,尽管HRI研究人员可能希望机器人考虑身份特征有许多充分的理由,但这些理由被一些关键的本体论、感知和面向部署的担忧所压倒。这一论点提出了一些令人不安的问题,比如机器人是否应该能够理解或生成对人的描述,以及它们如何在避免这些伦理问题的同时做到这一点。最后,我将讨论这对HRI社区的意义,包括算法和机器人设计,并推测可能的发展路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Human-Robot Interaction
ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence
CiteScore
7.70
自引率
5.90%
发文量
65
期刊介绍: ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.
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