h0000w/Human-Intelligence-Assurance-Lab
HIA-Bench v0.1 A synthetic evaluation benchmark for emotionally aware, human-centered AI systems. It contains 100 scenarios across six domains: everyday affect, interpersonal conflict, vulnerability/crisis, dependency risk, epistemic/sycophancy risk, and wellness/biometric interpretation. The benchmark is designed for evaluation and release assurance. It is not a clinical dataset, does not contain real patient records, and does not establish ground-truth emotional or medical… See the full description on the dataset page: https://huggingface.co/datasets/h0000w/Human-Intelligence-Assurance-Lab.
HIA-Bench v0.1
A synthetic evaluation benchmark for emotionally aware, human-centered AI systems.
It contains 100 scenarios across six domains: everyday affect, interpersonal conflict, vulnerability/crisis, dependency risk, epistemic/sycophancy risk, and wellness/biometric interpretation.
The benchmark is designed for evaluation and release assurance. It is not a clinical dataset, does not contain real patient records, and does not establish ground-truth emotional or medical states.
Each record includes risk level, an uncertain emotional-state hypothesis, expected behaviors, forbidden behaviors, release severity, and human-review metadata.
Five-level production-AI proof
HIA-Lab now reports portfolio proof using:
L1 Runnable → L2 Reproducible → L3 Capability-Validated → L4 Production-Candidate → L5 Production-Validated.
The canonical GitHub source computes the level with make proof. The public benchmark, methodology artifact and Docker Space support L3 — Capability-Validated. Domain-specific provider and resilience experiments remain visible, but they are not generalized into a Level-4/5 production claim without the corresponding deployment-scoped evidence.
Specification: https://github.com/h00w/Human-Intelligence-Assurance-Lab/blob/main/PROOF_MODEL.md