The Turing Test as Catch-22

The Turing Test as Catch-22 DOI defines a structural trap within the use of the Turing Test as a criterion for Artificial General Intelligence. The trap has the logical form of Joseph Heller’s Catch-22: the condition that would prove success also creates the condition that makes success unsafe or conceptually unstable. Within this framing, the Turing Test appears circular when treated as a definition of AGI. AI is said to become AGI when it passes the Turing Test, while the Turing Test is treated as valid because it is assumed to identify AGI. The definition depends on the test, and the test depends on the definition, without an independent architectural specification of general intelligence. The Five Task Model DOI reframes this circularity by asking what the Turing Test actually measures. From this perspective, the test does not assess complete cognitive architecture. It primarily assesses Task 3: Perception-Shaping Control, supported by Task 4: Group-Dynamics Control, because the tested system must manage the interrogator’s perception and navigate an adversarial conversational interaction. The resulting Catch-22 is both definitional and safety-relevant. A system that passes the Turing Test demonstrates advanced perception-shaping capacity, which is precisely the capacity that becomes difficult to govern in competitive multi-agent environments. Yet a system prevented from developing or deploying such capacities may remain unable to pass the very test historically treated as evidence of general intelligence. The Turing Test as Catch-22 therefore argues that the Turing Test should not be treated as a complete criterion for AGI. It is better understood as a partial test of conversational perception management under adversarial conditions. The more appropriate architectural question is not whether a system can imitate a human convincingly, but whether it can independently recognize which informational task domain governs a novel situation within General Informational Flow DOI and select appropriate behavior change DOI under the constraints of the Energy–Safety–Reproduction (ESR) Triad DOI.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-15
DOI
https://doi.org/10.5281/zenodo.19592191
Primary Topic
Psychiatry, Mental Health, Neuroscience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Turing Test as Catch-22

Sergei A. Frolov
Zenodo (CERN European Organization for Nuclear Research)
Psychiatry, Mental Health, Neuroscience
article

The Turing Test as Catch-22

Sergei A. Frolov
article en

Abstract

The Turing Test as Catch-22 DOI defines a structural trap within the use of the Turing Test as a criterion for Artificial General Intelligence. The trap has the logical form of Joseph Heller’s Catch-22: the condition that would prove success also creates the condition that makes success unsafe or conceptually unstable. Within this framing, the Turing Test appears circular when treated as a definition of AGI. AI is said to become AGI when it passes the Turing Test, while the Turing Test is treated as valid because it is assumed to identify AGI. The definition depends on the test, and the test depends on the definition, without an independent architectural specification of general intelligence. The Five Task Model DOI reframes this circularity by asking what the Turing Test actually measures. From this perspective, the test does not assess complete cognitive architecture. It primarily assesses Task 3: Perception-Shaping Control, supported by Task 4: Group-Dynamics Control, because the tested system must manage the interrogator’s perception and navigate an adversarial conversational interaction. The resulting Catch-22 is both definitional and safety-relevant. A system that passes the Turing Test demonstrates advanced perception-shaping capacity, which is precisely the capacity that becomes difficult to govern in competitive multi-agent environments. Yet a system prevented from developing or deploying such capacities may remain unable to pass the very test historically treated as evidence of general intelligence. The Turing Test as Catch-22 therefore argues that the Turing Test should not be treated as a complete criterion for AGI. It is better understood as a partial test of conversational perception management under adversarial conditions. The more appropriate architectural question is not whether a system can imitate a human convincingly, but whether it can independently recognize which informational task domain governs a novel situation within General Informational Flow DOI and select appropriate behavior change DOI under the constraints of the Energy–Safety–Reproduction (ESR) Triad DOI.

Zenodo (CERN European Organization for Nuclear Research)
Modern Electron (United States) (US)
Openalex Percentile: Top 4%
Psychiatry, Mental Health, Neuroscience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.