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Hidden Interlocutor Misidentification in Practical Turing Tests

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Abstract

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 a result, they were fooled on several occasions into believing that a machine was a human and that a human was a machine. Worse still, they did not realise their mistake. This resulted in a combined correct identification rate of less than 56%. In their paper they assumed that they had made correct identifications when they in fact had been incorrect.

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Notes

  1. Loebner Prize homepage: http://www.loebner.net/Prizef/loebner-prize.html retrieved Monday October 13, 2009: 12.12.

  2. Philosophy of Information Blog—“The Loebner Prize from a judge’s perspective” (Monday October 13, 2008) retrieved Monday 19 October 2009: 12.13.

  3. Marc Allen Turing Test Protocol: http://www.1bdi.co.uk/matt/ retrieved Sunday 25 October 2009: 14.49.

  4. Alicebot: http://alicebot.blogspot.com/ retrieved Monday 19 october 2009: 15.42.

  5. Elbot: http://www.elbot.com/ retrieved Wednesday 28 October 2009: 11.26 am.

  6. .. average interrogator would not have more than 70% chance of making the right identification after 5 min of questioning (Turing 1950, p. 442).

  7. http://www.artificial-solutions.com/ accessed Monday 19 October 2009: 17.18.

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Correspondence to Huma Shah.

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Shah, H., Warwick, K. Hidden Interlocutor Misidentification in Practical Turing Tests. Minds & Machines 20, 441–454 (2010). https://doi.org/10.1007/s11023-010-9219-6

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