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  1. Redefining culture in cultural robotics.Mark L. Ornelas, Gary B. Smith & Masoumeh Mansouri - 2023 - AI and Society 38 (2):777-788.
    Cultural influences are pervasive throughout human behaviour, and as human–robot interactions become more common, roboticists are increasingly focusing attention on how to build robots that are culturally competent and culturally sustainable. The current treatment of culture in robotics, however, is largely limited to the definition of culture as national culture. This is problematic for three reasons: it ignores subcultures, it loses specificity and hides the nuances in cultures, and it excludes refugees and stateless persons. We propose to shift the focus (...)
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  • The Ubuntu Robot: Towards a Relational Conceptual Framework for Intercultural Robotics.Mark Coeckelbergh - 2022 - Science and Engineering Ethics 28 (2):1-15.
    Recently there has been more attention to the cultural aspects of social robots. This paper contributes to this effort by offering a philosophical, in particular Wittgensteinian framework for conceptualizing in what sense and how robots are related to culture and by exploring what it would mean to create an “Ubuntu Robot”. In addition, the paper gestures towards a more culturally diverse and more relational approach to social robotics and emphasizes the role technology can play in addressing the challenges of modernity (...)
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  • Trust and robotics: a multi-staged decision-making approach to robots in community.Wenxi Zhang, Willow Wong & Mark Findlay - 2024 - AI and Society 39 (5):2463-2478.
    With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot interaction (HRI) interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and learned (...)
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