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  1.  52
    Effects of lying in practical Turing tests.Kevin Warwick & Huma Shah - 2016 - AI and Society 31 (1):5-15.
  2.  94
    Hidden Interlocutor Misidentification in Practical Turing Tests.Huma Shah & Kevin Warwick - 2010 - Minds and Machines 20 (3):441-454.
    Response to Floridi et al, 2008/2009. Based on insufficient evidence, and inadequate research, Floridi and his students report inaccuracies and draw false conclusions in their Minds and Machines evaluation, which this paper aims to clarify. Acting as invited judges, Floridi et al. participated in nine, of the ninety-six, Turing tests staged in the finals of the 18th Loebner Prize for Artificial Intelligence in October 2008. From the transcripts it appears that they used power over solidarity as an interrogation technique. As (...)
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  3.  51
    The importance of a human viewpoint on computer natural language capabilities: a Turing test perspective.Kevin Warwick & Huma Shah - 2016 - AI and Society 31 (2):207-221.
  4.  73
    Some Implications of a Sample of Practical Turing Tests.Kevin Warwick, Huma Shah & James Moor - 2013 - Minds and Machines 23 (2):163-177.
    A series of imitation games involving 3-participant (simultaneous comparison of two hidden entities) and 2-participant (direct interrogation of a hidden entity) were conducted at Bletchley Park on the 100th anniversary of Alan Turing’s birth: 23 June 2012. From the ongoing analysis of over 150 games involving (expert and non-expert, males and females, adults and child) judges, machines and hidden humans (foils for the machines), we present six particular conversations that took place between human judges and a hidden entity that produced (...)
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  5. Guidelines on Regulating Robotics.Erica Palmerini, Federico Azzarri, Fiorella Battaglia, Andrea Bertolini, Antonio Carnevale, Jacopo Carpaneto, Filippo Cavallo, Angela Di Carlo, Marco Cempini, Marco Controzzi, Bert-Jaap Koops, Federica Lucivero, Nikil Mukerji, Luca Nocco, Alberto Pirni & Huma Shah - 2014 - Robolaw (FP7 project).
  6.  83
    Machine humour: examples from Turing test experiments.Huma Shah & Kevin Warwick - 2017 - AI and Society 32 (4):553-561.
    In this paper, we look at the possibility of a machine having a sense of humour. In particular, we focus on actual machine utterances in Turing test discourses. In doing so, we do not consider the Turing test in depth and what this might mean for humanity, rather we merely look at cases in conversations when the output from a machine can be considered to be humorous. We link such outpourings with Turing’s “arguments from various disabilities” used against the concept (...)
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