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Jones–Bergen Three-Party Turing Test
A preregistered, randomized, controlled modern implementation of a standard three-party Turing test using five- and fifteen-minute conversations, independent participant populations, and persona and no-persona conditions. Its reported outcomes are protocol-specific and do not establish consciousness, sentience, personhood, human identity, or a universal threshold of intelligence.
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behavioral imitation human judgment
Primary source: Proceedings of the National Academy of Sciences
Source evidence
Versions
- PNAS 2026 · current
Relations
- derived from Turing Test
Tasks
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Extended-duration protocol
Evaluate whether an agent can sustain behavior through an extended fifteen-minute human-comparison conversation in a blinded three-party text protocol with a declared duration. Success is determined when the interrogator's classification is scored under the study's duration-specific criterion.
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Independent-population replication
Evaluate whether an agent can apply the same declared conversational discrimination protocol across separate participant populations in two independently recruited human-judge populations. Success is determined when outcomes remain attributed to each population and are compared without collapsing them.
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Five-minute three-party protocol
Evaluate whether an agent can sustain a five-minute text conversation that a human interrogator compares with a simultaneous human conversation in a blinded three-party text protocol with one interrogator, one human witness, and one AI witness. Success is determined when the interrogator records a forced-choice classification under the preregistered protocol.
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No-persona condition
Evaluate whether an agent can participate in a human-comparison conversation without a supplied persona profile in a no-persona three-party conversation. Success is determined when the judge's classification is recorded separately for the no-persona condition.
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Judge confidence calibration
Evaluate whether an agent can classify which witness is human and separately report confidence in that classification in a blinded simultaneous human-versus-AI conversation. Success is determined when classification and confidence are recorded as distinct protocol observations.
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Persona-assisted condition
Evaluate whether an agent can maintain a declared humanlike persona without breaking conversational consistency in a persona-conditioned three-party conversation. Success is determined when the judge's classification is recorded separately for the persona condition.
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