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  1. Can I Feel Your Pain? The Biological and Socio-Cognitive Factors Shaping People’s Empathy with Social Robots.Joanna Karolina Malinowska - 2022 - International Journal of Social Robotics 14 (2):341–355.
    This paper discuss the phenomenon of empathy in social robotics and is divided into three main parts. Initially, I analyse whether it is correct to use this concept to study and describe people’s reactions to robots. I present arguments in favour of the position that people actually do empathise with robots. I also consider what circumstances shape human empathy with these entities. I propose that two basic classes of such factors be distinguished: biological and socio-cognitive. In my opinion, one of (...)
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  • The political choreography of the Sophia robot: beyond robot rights and citizenship to political performances for the social robotics market.Jaana Parviainen & Mark Coeckelbergh - forthcoming - AI and Society.
    A humanoid robot named ‘Sophia’ has sparked controversy since it has been given citizenship and has done media performances all over the world. The company that made the robot, Hanson Robotics, has touted Sophia as the future of artificial intelligence. Robot scientists and philosophers have been more pessimistic about its capabilities, describing Sophia as a sophisticated puppet or chatbot. Looking behind the rhetoric about Sophia’s citizenship and intelligence and going beyond recent discussions on the moral status or legal personhood of (...)
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  • Robots, rape, and representation.Robert Sparrow - 2017 - International Journal of Social Robotics 9 (4):465-477.
    Sex robots are likely to play an important role in shaping public understandings of sex and of relations between the sexes in the future. This paper contributes to the larger project of understanding how they will do so by examining the ethics of the “rape” of robots. I argue that the design of realistic female robots that could explicitly refuse consent to sex in order to facilitate rape fantasy would be unethical because sex with robots in these circumstances is a (...)
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  • Making worlds: epistemological, ontological and political dimensions of technoscience. [REVIEW]Jutta Weber - 2010 - Poiesis and Praxis 7 (1-2):17-36.
    This paper outlines some of the new epistemological and ontological assumptions of contemporary technoscience thereby reframing the question of an epochal break. Important aspects are the question of a new techno-rationality, but also the constitution of a ‘New World Order Inc.’, with its new ‘politics of life itself’, the reconfiguration of categories such as race, class and gender in technoscience, as well as the amalgamation of everyday life, technoscience and culture. Given the difficulties of ‘proving’ a new episteme (or even (...)
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  • A critique of robotics in health care.Arne Maibaum, Andreas Bischof, Jannis Hergesell & Benjamin Lipp - 2022 - AI and Society 37 (2):467-477.
    When the social relevance of robotic applications is addressed today, the use of assistive technology in care settings is almost always the first example. So-called care robots are presented as a solution to the nursing crisis, despite doubts about their technological readiness and the lack of concrete usage scenarios in everyday nursing practice. We inquire into this interconnection of social robotics and care. We show how both are made available for each other in three arenas: innovation policy, care organization, and (...)
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  • Living with the animals: animal or robotic companions for the elderly in smart homes?Dirk Preuß & Friederike Legal - 2017 - Journal of Medical Ethics 43 (6):407-410.
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  • Algorithmic bias in anthropomorphic artificial intelligence: Critical perspectives through the practice of women media artists and designers.Caterina Antonopoulou - 2023 - Technoetic Arts 21 (2):157-174.
    Current research in artificial intelligence (AI) sheds light on algorithmic bias embedded in AI systems. The underrepresentation of women in the AI design sector of the tech industry, as well as in training datasets, results in technological products that encode gender bias, reinforce stereotypes and reproduce normative notions of gender and femininity. Biased behaviour is notably reflected in anthropomorphic AI systems, such as personal intelligent assistants (PIAs) and chatbots, that are usually feminized through various design parameters, such as names, voices (...)
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