/**
 * Singapore PDPC Model AI Governance Framework + AI Verify Compliance Pack
 *
 * Regulation: PDPC Model AI Governance Framework (2nd Edition, 2020)
 *             + AI Verify (open-source AI governance testing toolkit, IMDA, 2022)
 *             + Companion Guides to the Model AI Governance Framework (2022)
 *
 * Jurisdiction: SG (Singapore)
 * Regulators: IMDA (Infocomm Media Development Authority)
 *             + PDPC (Personal Data Protection Commission)
 *
 * Alias: EN-09
 *
 * Status:
 *   Voluntary framework, but referenced in PDPA enforcement actions and
 *   increasingly expected in MAS-regulated financial services and government
 *   procurement. AI Verify is the auditable testing artifact produced under
 *   this framework. Singapore MAS also references the Model AI Governance
 *   Framework in its Fairness, Ethics, Accountability and Transparency
 *   (FEAT) principles.
 *
 * Key obligations:
 *   1. Internal AI governance structure: board-level AI accountability,
 *      designated AI risk owner, AI ethics committee or equivalent.
 *   2. AI risk classification: apply PDPC Decision Matrix to classify each
 *      AI deployment by probability of harm and severity of impact.
 *   3. Human involvement level determination: each AI deployment classified
 *      as one of four levels:
 *        - Human-in-the-loop (HITL): human decision-making for every output
 *        - Human-over-the-loop (HOTL): human monitoring with override ability
 *        - Human-out-of-the-loop: AI autonomous but human-initiated
 *        - Human-controlled: fully automated within pre-defined parameters
 *   4. Explainability tier mapping: results must be explainable at a level
 *      appropriate to the risk classification and human-involvement level.
 *   5. Fairness testing: AI Verify toolkit conformance, covering performance
 *      metrics (accuracy, precision, recall, F1), fairness metrics (demographic
 *      parity, equalised odds, etc.), and robustness testing.
 *   6. Stakeholder communication: disclosure to affected individuals and
 *      relevant stakeholders about AI use, decisions, and limitations.
 *
 * AI Verify:
 *   AI Verify is an AI governance testing toolkit developed by IMDA.
 *   It produces a test report covering 9 AI ethics principles across
 *   25 testable properties. The AI Verify test report is the auditable
 *   artifact referenced by enterprise customers and regulators.
 *
 * Interaction with PDPA:
 *   The Model AI Governance Framework sits above the PDPA. Where AI
 *   decisions involve personal data, PDPA obligations (consent, purpose
 *   limitation, data protection) also apply. Both packs may be active
 *   simultaneously; PDPA governs data handling; this pack governs AI
 *   governance structure and fairness testing.
 *
 * @connexum/ai-governance
 */
import { CompliancePack } from './index';
import { CategoryClassifiers } from '../classification/pack-driven-classifier';
export declare const SG_MODEL_AI_GOV_CATEGORY_CLASSIFIERS: CategoryClassifiers;
export declare const SG_MODEL_AI_GOV_PACK: CompliancePack & {
    categoryClassifiers: CategoryClassifiers;
};
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