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  1. More than Skin Deep: a Response to “The Whiteness of AI”.Shelley Park - 2021 - Philosophy and Technology 34 (4):1961-1966.
    This commentary responds to Stephen Cave and Kanta Dihal’s call for further investigations of the whiteness of AI. My response focuses on three overlapping projects needed to more fully understand racial bias in the construction of AI and its representations in pop culture: unpacking the intersections of gender and other variables with whiteness in AI’s construction, marketing, and intended functions; observing the many different ways in which whiteness is scripted, and noting how white racial framing exceeds white casting and thus (...)
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  • Race and AI: the Diversity Dilemma.Stephen Cave & Kanta Dihal - 2021 - Philosophy and Technology 34 (4):1775-1779.
    This commentary is a response to ‘More than Skin Deep’ by Shelley M. Park, and a development of our own 2020 paper ‘The Whiteness of AI’. We aim to explain how representations of AI can be varied in one sense, whilst not being diverse. We argue that Whiteness’s claim to universal humanity permits a broad range of roles to White humans and White-presenting machines, whilst assigning a much narrower range of stereotypical roles to people of colour. Because the attributes of (...)
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  • Oppressive Things.Shen-yi Liao & Bryce Huebner - 2020 - Philosophy and Phenomenological Research 103 (1):92-113.
    In analyzing oppressive systems like racism, social theorists have articulated accounts of the dynamic interaction and mutual dependence between psychological components, such as individuals’ patterns of thought and action, and social components, such as formal institutions and informal interactions. We argue for the further inclusion of physical components, such as material artifacts and spatial environments. Drawing on socially situated and ecologically embedded approaches in the cognitive sciences, we argue that physical components of racism are not only shaped by, but also (...)
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  • Gender and Age Stereotypes in Robotics for Eldercare: Ethical Implications of Stakeholder Perspectives from Technology Development, Industry, and Nursing.Merle Weßel, Niklas Ellerich-Groppe, Frauke Koppelin & Mark Schweda - 2022 - Science and Engineering Ethics 28 (4):1-15.
    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 (...)
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  • Patient Preferences Concerning Humanoid Features in Healthcare Robots.Dane Leigh Gogoshin - 2024 - Science and Engineering Ethics 30 (6):1-16.
    In this paper, I argue that patient preferences concerning human physical attributes associated with race, culture, and gender should be excluded from public healthcare robot design. On one hand, healthcare should be (objective, universal) needs oriented. On the other hand, patient well-being (the aim of healthcare) is, in concrete ways, tied to preferences, as is patient satisfaction (a core WHO value). The shift toward patient-centered healthcare places patient preferences into the spotlight. Accordingly, the design of healthcare technology cannot simply disregard (...)
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  • Meta-narratives on machinic otherness: beyond anthropocentrism and exoticism.Min-Sun Kim - 2023 - AI and Society 38 (4):1763-1770.
    Intelligent machines are no longer distant fantasies of the future or solely used for industrial purposes; they are real “living” things that operate similarly to humans with verbal and nonverbal communication capabilities. Humans see in such technology the horrifying dangers and the bliss enabled by the saving power. Entrenched in the emotions of hope and fear concerning intelligent machines, humans’ attitudes toward intelligent machines are not free of expectations, judgments, strategies, and selfish agendas. As the discovery of the New Worlds (...)
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