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May 8, 2026Open Access

Chetana: A Theory-Indexed Probe Framework for AI Consciousness Indicator Scoring

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Authors

MKMukunda Rao Katta

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Overview

Chetana presents a framework for evaluating AI consciousness indicators, improving inspection and discussion.

Key Points

  • The goal is to create a transparent evaluation workflow for AI consciousness indicators using various theories.
  • Developed a TypeScript monorepo for framework implementation.
  • Mapped model responses to consciousness indicators from multiple theories.
  • Organized scoring, aggregation, and reporting processes.
  • Provides a structured approach to evaluate consciousness indicators, facilitating discussions.
  • Positions as research tooling rather than a definitive consciousness detector.

Cite This Study

Mukunda Rao Katta (2026) studied this question.

synapsesocial.com/papers/69fd7ec6bfa21ec5bbf0711ahttps://doi.org/10.5281/zenodo.20057057
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  4. 4From Agents to Conscious Agents — What Would Count as Evidence for Artificial Consciousness?2026
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