{
  "schema": "https://councilof.ai/interop/regulatory-exposure-card.schema.json",
  "id": "art5-emotion-hume-ai",
  "pack": "art5-emotion-ai-2026-09",
  "as_of": "2026-09-02T05:44:00Z",
  "obligation": {
    "cite": "Regulation (EU) 2024/1689 Art 5(1)(f)",
    "text": "the placing on the market, the putting into service for this specific purpose, or the use of AI systems to infer emotions of a natural person in the areas of workplace and education institutions, except where the use of the AI system is intended to be put in place or into the market for medical or safety reasons"
  },
  "binds": "providers AND deployers (Commission Guidelines Feb 2025: workplace/education emotion inference based on biometric data)",
  "fine_ceiling": {
    "cite": "Regulation (EU) 2024/1689 Art 99(3)",
    "text": "administrative fines of up to EUR 35 000 000 or, if the offender is an undertaking, up to 7 % of its total worldwide annual turnover for the preceding financial year, whichever is higher",
    "short": "€35M / 7%"
  },
  "enforcer": "national market-surveillance authorities (Art 74)",
  "enforcement_start": "2025-02-02",
  "measured_fact": {
    "vendor": "Hume AI",
    "product_page_url": "https://www.hume.ai/expression-measurement-api",
    "retrieval_iso_date": "2026-09-02",
    "verbatim_quote": "Stream audio and receive real-time expression measurement as a call unfolds, surfacing expressions of frustration, distress, warmth, and engagement. Built for voice-native AI providers who need to respond to how callers are expressing themselves, as it happens.",
    "http_status": 200
  },
  "UNMEASURED": [
    "workplace_or_education_deployment_context",
    "biometric_basis_confirmation",
    "national_MSA_enforcement_action",
    "independent_recompute",
    "keystone_signature"
  ],
  "status": "PROBED",
  "witness": {
    "retrieved_at": "2026-09-02T05:44:00Z",
    "method": "HTTPS GET of public product page; quote copied verbatim; no classification",
    "writes_board": false,
    "sig_ed25519": null
  },
  "honest_sentence": "Article 5(1)(f) text (quoted). Vendor public page dated retrieval states the verbatim quote (quoted). Enforcer: national MSA. Ceiling: €35M/7% (Art 99(3), quoted). Reader concludes. No conclusion field.",
  "forbidden_note": "NEVER: non-compliant / violated / fined / unsafe / hacked / absent-as-verdict / classify."
}