Gender and Age Stereotypes in Robotics for Eldercare: Ethical Implications of Stakeholder Perspectives from Technology Development, Industry, and Nursing

Abstract

Social categorizations regarding gender or age have proven to be relevant in human-robot interaction. Their stereotypical application in the development and implementation of robotics in eldercare is even discussed as a strategy to enhance the acceptance, well-being, and quality of life of older people. This raises serious ethical concerns, e.g., regarding autonomy of and discrimination against users. In this paper, we examine how relevant professional stakeholders perceive and evaluate the use of social categorizations and stereotypes regarding gender and age in robotics for eldercare. Based on 16 semi-structured interviews with representatives from technology development, industry, and nursing science as well as practice, we explore the subjects’ awareness, evaluations, and lines of argument regarding the corresponding moral challenges. Six different approaches of dealing with categorizations and stereotypes regarding gender and age in care robotics for older people are identified: negation, functionalistic relativization, explanation, neutralization, stereotyping, and queering. We discuss the ethical implications of these approaches with regard to professional responsibility and draw conclusions for responsible age tech in pluralistic societies.