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Research & evaluation

Research, Evaluation, and Evidence Boundaries

PhiloMind AI publishes the parts of its evaluation work that can be explained responsibly: what was tested, which sources shaped the system, what a result measures, and what it does not prove. This hub collects those materials without turning internal engineering checks into claims of perfect philosophical or historical accuracy.

Published research and evaluation materials

The current public evidence is deliberately small and specific. Each item below has a different job: the methodology defines readiness checks, the retrieval result reports one dated Socrates benchmark, and the source catalog shows the public source basis behind philosopher interpretations.

Published result · August 2026 snapshot

Socrates source-retrieval evaluation

A dated engineering benchmark covering 36 fixed Socrates retrieval cases, including the 26 cases that required expected source evidence within the top six results, with limitations stated alongside the result.

Methodology

AI philosopher evaluation methodology

How PhiloMind evaluates debate structure, grounding, philosopher isolation, leakage, and separate human-quality gates—and why an automated pass is not a philosophical-truth score.

Source transparency

Active philosophical source catalog

The public catalog of approved works and testimony currently shaping PhiloMind's philosopher interpretations, with quotation, paraphrase, testimony, and interpretation boundaries kept explicit.

What we are willing to claim

A public result should describe the exact system, dataset, and gate that produced it. For example, the Socrates retrieval result is evidence about retrieval behavior on a fixed curated suite. It is not evidence that every generated answer is historically correct or philosophically sound.

When a stronger claim depends on human review, PhiloMind does not convert a machine-only run into a human-quality score. Material changes to personas, source sets, retrieval behavior, models, rendering, or orchestration can also make older evidence stale.

  • Distinguish retrieval evidence from generated-answer quality
  • Distinguish automated integrity gates from human philosophical review
  • Publish the tested scope and limitations with the result
  • Keep private prompts, credentials, internal identifiers, and security-sensitive details out of public artifacts
  • Re-evaluate after material system changes instead of treating old evidence as permanent proof

Why this material is public

AI philosopher systems invite unusually strong claims about voice, history, sources, and intellectual authority. Publishing evaluation boundaries makes those claims easier to scrutinize and gives educators, philosophers, researchers, and users a clearer basis for deciding what the product should and should not be trusted to do.

These pages are implementation evidence, not peer-reviewed academic research. They can complement scholarly work on Socratic dialogue, AI tutoring, public philosophy, and human-AI interaction, but they should be cited for what they actually document rather than treated as independent academic validation.

Source transparency

Every conversation on PhiloMind AI is AI-generated and shaped by approved philosophical sources, documented reasoning methods, and explicit source disclosures when available. It is not the historical person, and it may contain uncertainty or limitations.