Authors:
Huma Shah
and
Kevin Warwick
Affiliation:
Coventry University, United Kingdom
Keyword(s):
Cisgender, Gender, Gender-blur, Gender-in-AI, Imitation Game, Machine Intelligence, Sex, Simultaneous-comparison, Transgender, Turing Test.
Related
Ontology
Subjects/Areas/Topics:
Agent Communication Languages
;
Agents
;
AI and Creativity
;
Artificial Intelligence
;
Autonomous Systems
;
Bioinformatics
;
Biomedical Engineering
;
Cognitive Robotics
;
Cognitive Systems
;
Computational Intelligence
;
Conversational Agents
;
Cooperation and Coordination
;
Enterprise Information Systems
;
Evolutionary Computing
;
Informatics in Control, Automation and Robotics
;
Information Systems Analysis and Specification
;
Methodologies and Technologies
;
Operational Research
;
Robot and Multi-Robot Systems
;
Robotics and Automation
;
Simulation
;
Soft Computing
;
Symbolic Systems
Abstract:
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 gender-cued intelligent agents, for example robots caring for elderly patients in their own home.