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Authors: Huma Shah and Kevin Warwick

Affiliation: Coventry University, United Kingdom

Keyword(s): Computer-mediated Communication, Gender-blur, Imitation Game, Indistinguishability, Loebner Prize, Simultaneous Comparison, Turing Test.

Related Ontology Subjects/Areas/Topics: Agent Communication Languages ; Agents ; Applications ; Artificial Intelligence ; Computational Intelligence ; Conversational Agents ; Economic Agent Models ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Natural Language Processing ; Pattern Recognition ; Soft Computing ; Symbolic Systems

Abstract: Without knowledge of other features, can the sex of a person be determined through text-based communication alone? In the first Turing test experiment enclosing 24 human-duo set-ups embedded among machine-human pairs the interrogators erred 50% of the time in assigning the correct sex to a hidden interlocutor identified as human. In this paper we present five transcripts, in four gender blur occurred: Turing test interrogators misclassified male for female and vice versa. In the fifth, machine-human conversation artificial dialogue was branded as female teen. Did stereotypical views on male and female talk sway the judges to assign one way or another? This research is part of ongoing analysis of over 400 tests involving more than 80 human judges. Can we overcome unconscious bias and improve development of agent language?


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Paper citation in several formats:
Shah, H. and Warwick, K. (2016). Distinguishing AI from Male/Female Dialogue. In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-172-4; ISSN 2184-433X, SciTePress, pages 215-222. DOI: 10.5220/0005736802150222

author={Huma Shah. and Kevin Warwick.},
title={Distinguishing AI from Male/Female Dialogue},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},


JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Distinguishing AI from Male/Female Dialogue
SN - 978-989-758-172-4
IS - 2184-433X
AU - Shah, H.
AU - Warwick, K.
PY - 2016
SP - 215
EP - 222
DO - 10.5220/0005736802150222
PB - SciTePress