AI governance
references

It gives Hong Kong organisations a local reference for generative AI implementation, service governance, user responsibilities, & technical risk controls.

• Model
• Safety
• Governance

It is a local operating reference for project teams that need a structured AI assessment workflow rather than an abstract principle statement.

• Governance
• Risk
• Transparency

It helps the Data Asset Valuation Taskforce separate pre-valuation evidence review from a formal valuation engagement, report, basis of value, or professional opinion.

• Value
• Valuation
• Asset

This is a horizon-scanning item: it should influence readiness planning, but it should not be weighted like the core AI Act or a published standard.

• Model
• Transparency
• Risk

It is a concrete sector reference showing how AI governance expectations become operational controls in regulated customer-facing environments.

• Governance
• Risk
• Transparency

It is the clearest binding benchmark for AI risk classification, governance obligations, human oversight, transparency, & documentation.

• Risk
• Safety
• Transparency

It gives the Model Adaptation Taskforce a mature GenAI-specific reference beyond general AI risk management language.

• Model
• Safety
• Risk

It is a high-priority local reference for AI deployments that involve personal data, automated recommendations, model procurement, & lifecycle governance.

• Privacy
• Governance
• Risk