Page 11 - U4SSC Case study Hong Kong, China

The guidance provided three data stewardship values (being respectful, being beneficial, and
being fair), seven ethical principles for AI (accountability, human oversight, transparency and
interpretability, data privacy, fairness, beneficial AI, and reliability, robustness and security) and
four major business processes (AI strategy and governance, risk assessment and human oversight,
development of AI models and management of AI systems, and communication and engagement
with stakeholders), as shown in Figure 2.

• Accountability: Organizations should be responsible for their actions and be able to assess
and address the risk of AI adoption.

• Human oversight: The option of human intervention should always be provided.

• Transparency and interpretability: Organizations should demonstrate accountability and
protect individuals’ rights, freedom and interests by ensuring transparency and interpretability.
• Data privacy: Effective data governance should be ensured.

• Fairness: Unjust bias and unlawful discrimination should be avoided.

• Beneficial AI: Benefits of AI should be provided to human beings, businesses and communities.
• Reliability, Robustness and Security: The AI system should be reliable, resilient and protected.

The guidance is not mandatory. The Office of the Privacy Commissioner for Personal Data (PCPD)
is an independent statutory body set up to oversee the enforcement of the Personal Data (Privacy)
Ordinance.

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