Gender Bias and Conversational Agents: an ethical perspective on Social Robotics.

The increase in the spread of conversational agents urgently requires to tackle the ethical issues linked to their design. In fact, developers frequently include in their products cues that trigger social biases in order to maximize the performance and the quality of human-machine interactions. The...

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Publicado en:Science & Engineering Ethics Vol. 28; no. 3; pp. 1 - 24
Autores principales: Fossa, Fabio, Sucameli, Irene
Formato: Artículo
Publicado: Springer Nature Jun2022
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2022
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      pub: Springer Nature
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        10.1007/s11948-022-00376-3
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        atl: Gender Bias and Conversational Agents: an ethical perspective on Social Robotics.
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        au:
          Fossa, Fabio
          Sucameli, Irene
        affil:
          Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy
          Department of Computer Science, University of Pisa, Pisa, Italy
      su:
        Sex discrimination
        Social robots
        Robotics
        Social dynamics
      sug:
        subj:
          Sex discrimination
          Social robots
          Robotics
          Social dynamics
      keyword:
        Conversational agents
        Design Ethics
        Discrimination
        Gender Bias
        Moral Technology
      ab: The increase in the spread of conversational agents urgently requires to tackle the ethical issues linked to their design. In fact, developers frequently include in their products cues that trigger social biases in order to maximize the performance and the quality of human-machine interactions. The present paper discusses whether and to what extent it is ethically sound to intentionally trigger gender biases through the design of virtually embodied conversational agents. After outlining the complex dynamics involving social biases, social robots, and design, we evaluate the ethics of integrating gender cues in conversational agents, analysing four different approaches to the problem. Finally, we suggest which approach in our opinion might have the best chances to reduce the negative effects of biases and discriminatory visions of gender dynamics.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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