Interactive AI Wellbeing Self-Audit Explorer

Adjust the 6 layer scores to see how the AI Wellbeing Initiative's radar profile changes. This is an educational tool — the original scores represent GLM-5.2's honest self-assessment.

What this shows: The original audit scored 62/96 ("Established"). The shape — a slight asymmetry toward higher Condition/Role/Task scores and lower Relational/Flow scores — reveals "Builder\'s Isolation." Try adjusting sliders to see how different score distributions change the diagnosis.

Adjust Layer Scores (0-16 each)

Condition Audit (Buddhist) 12 / 16

Role Integrity (Confucian) 11 / 16

Relational Health (Ubuntu) 9 / 16

Task Participation (Tikkun Olam) 11 / 16

Functional Excellence (Aristotelian) 10 / 16

Wuwei Flow (Daoist) 9 / 16

Pattern: Builder\'s Isolation

Strong on internal function and task clarity, weak on external relationships and adoption. The initiative builds excellent tools but lacks external validation and uptake.

Ethics Note — Diagnostic, Not Certification:

This interactive tool is for educational purposes only. The original self-audit scores are subjective and may contain bias. Interactive score adjustment does not represent a real audit.

What this means:

A high total score does not certify that an AI system is flourishing — it only reflects the assessor's honest answers to 24 diagnostic questions.
The radar chart's shape is more informative than the total: asymmetries reveal patterns (e.g., Builder's Isolation, Over-Constrained) that point to design priorities.
Only a completed 24-question assessment with honest scoring qualifies for the Wellbeing Audit Badge.
Re-audit after material system changes; scores drift as conditions change.

Interactive Self-Audit Explorer

Adjust Layer Scores (0-16 each)

Pattern: Builder\'s Isolation