Hong Kong AI Risk Classification System
Tags: Frameworks
Overview
The Guideline introduces a four-tiered risk classification system to calibrate governance intensity according to potential harm. This proportionate approach balances innovation with safeguards across the AI ecosystem.
Tiers and Governance Strategies
- Definition: Systems posing existential threats, including uses causing harm or affecting human safety, or subliminal manipulation.
- Governance: Full prohibition; legal liability for development/deployment.
- Definition: Critical infrastructure systems (e.g., healthcare diagnostics, autonomous vehicles).
- Governance: Conformity assessments, human-in-the-loop requirements, real-time monitoring.
- Definition: Systems with moderate societal impact (e.g., recruitment tools, educational AI).
- Governance: Transparency obligations, user opt-out mechanisms, annual compliance audits.
- Definition: Minimal-risk applications (e.g., spam filters, creative tools).
- Governance: Self-certification.
Rationale and Effects
- Provides clear, predictable obligations aligned to impact.
- Directs resources to oversight where stakes are highest while enabling low-risk innovation.
- Supports cross-boundary collaboration by mirroring widely recognised risk-based governance practices.
Sources:- HK_Generative_AI_Technical_and_Application_Guideline_en.pdf
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