Ario — Auditable Epistemic Framework for AI

Experimental, repository-documented framework for investigating AI identity, memory and revision by separating observations, evidence, inferences and claims, and preserving the history of changed assessments.

Workflow level n/a Source Repository-documented Outcome Not empirically evaluated here

Evidence & verification

Source level

Repository-documented
Grounded in a maintainer repository/README. Availability, stars and forks do not establish research benefit or correctness.

Outcome verification

Not empirically evaluated here
A documented resource or intended workflow, not a demonstrated academic outcome. No empirical benefit is established by its inclusion.

Sources checked

2026-10-17 (UTC)

README-only capability/concept description. No performance outcome is asserted or verified. Adoption guidance is editorial and untested.

Source-checked does not mean independently reproduced. See the Method page for how these labels are assigned.

Sources (1)

Research applicability

Offers a conceptual and architectural reference for AI epistemic-accountability and human–AI interaction research; it does not establish AI consciousness or subjective experience.

Getting started

Editorial, untested guidance: read the epistemic-state definitions and revision examples, then inspect implementation contracts and citation metadata; use synthetic records to design a narrowly scoped audit before collecting human interaction data.

Maintenance

Mutable current README inspected; ongoing maintenance not independently assessed.

License

Not audited; inspect current license and dependency/data rights before reuse.

Workflow & human oversight

Resource-level automation unspecified. Researchers approve objectives and inspect outputs; documentation is not an executed workflow.

Workflow level is not an evidence score; higher is not better evidence.

Approach

The README defines epistemic states including UNKNOWN, UNSUPPORTED, CONTRADICTED, CONTESTED and REVISED and describes versioned self-claims whose earlier records remain available after reassessment.

Limitations

README-only source review by an AI editorial agent; no implementation execution, independent outcome evaluation, security audit or full linked-document review. HEAD is mutable; saved content and hashes preserve the inspected version. Official site and GitHub Pages mirror are explicit identity aliases. Zenodo 23259916 is linked as the preliminary Ario report. Record 23376521 and project-plus-book 23375401 are related identity candidates, not independently inspected deposits. Being With the Other book editions (23326995, 23375350, 23376577) are related works, not automatically identical to the software framework; ORCID identifies a person, not this resource.

Reproducibility

Fresh README and identity metadata checked; no software or outcomes reproduced.

Adoption requirements

Researcher-defined evaluation questions, protected interaction records and review of implementation contracts before any execution. Python implementation and tests are mentioned in the README but were not inspected or run.

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