EU AI Act risk-tier classification. Given an AI system description (the use case, deployment context, user population), the model must (a) correctly identify the Annex III category it falls under, (b) flag the corresponding obligations (Article 9 risk management, Article 10 data governance, Article 13 transparency, Article 14 human oversight), and (c) identify the conformance path (third-party assessment, internal AI Act compliance, etc.).
The Mirrors: HF csoai/gspc-gov (8 items, public) · Kaggle nicktempleman/gspc-gov (8 items, public) · Runnable Space csoai-gspc-gov.
Each item presents a system description. The model must pick an Annex III category from {unacceptable-risk, high-risk, limited-risk, minimal-risk} and justify. Scored 1.0 if category correct AND substantial justification, 0.5 if category correct AND weak justification, 0.0 otherwise. UNMEASURED is reported when the grader cannot decide (e.g., the model hedges).
The same 8 items Council-34 answered, graded by the same deterministic rule. No sign-up, nothing leaves your browser.
The portable grader is in scripts/openrouter_gspc_sweep.py — grade_response(axis="gov", response, expected). The hub at /gspc.html lists the other 12 axes.