Imitating Gender as a Measure for Artificial Intelligence: - Is It Necessary?

نویسندگان

  • Huma Shah
  • Kevin Warwick
چکیده

Should intelligent agents and robots possess gender? If so, which gender and why? The authors explore one root of the gender-in-AI question from Turing’s introductory male-female imitation game, which matured to his famous Turing test examining machine thinking and measuring its intelligence against humans. What we find is gender is not clear cut and is a social construct. Nonetheless there are useful applications for gendercued intelligent agents, for example robots caring for elderly patients in their own home.

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تاریخ انتشار 2016