{"title":"The Eye of the Robot Beholder: Ethical Risks of Representation, Recognition, and Reasoning over Identity Characteristics in Human-Robot Interaction","authors":"T. Williams","doi":"10.1145/3568294.3580031","DOIUrl":null,"url":null,"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.","PeriodicalId":36515,"journal":{"name":"ACM Transactions on Human-Robot Interaction","volume":"391 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Human-Robot Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3568294.3580031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
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.
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.