🚨BREAKING: The Hong Kong Privacy Commissioner’s Office publishes “Artificial Intelligence: Model Personal Data Protection Framework,” a must-read for everyone in AI. Important info: ➡️According to the official release: "(...) the Model Framework, which is based on general business processes, provides a set of recommendations and best practices regarding governance of AI for the protection of personal data privacy for organisations which procure, implement and use any type of AI systems" ➡️ The document covers recommended measures in the following areas: ➵ AI strategy and governance; ➵ Risk assessment and human oversight; ➵ Customisation of AI models and implementation and management of AI systems; ➵ Communication and engagement with stakeholders. ➡️Quotes: "A risk-based approach should be adopted in the procurement, use and management of AI systems. Comprehensive risk assessment is necessary for organisations to systematically identify, analyse and evaluate the risks, including privacy risks, involved in the process. A risk management system should be formulated, implemented, documented and maintained throughout the entire life cycle of an AI system" (page 23) - In proportion to the level of risks involved, there should be rigorous testing and validation of the AI models to ensure that they perform as intended, and their reliability, robustness and fairness should be evaluated before deployment, especially where the models have been customised."(page 38) - "An organisation's use of AI should be transparent to stakeholders to demonstrate the organisation's adherence to the "Transparency and Interpretability" principle. Organisations should communicate and engage effectively and regularly with stakeholders, in particular internal staff, AI suppliers, individual customers and regulators. The level of transparency will vary depending on the stakeholder. Effective communication is essential to building trust." (page 47) ➡️Link to the document below. ➡️Never miss my updates on AI policy & regulation: subscribe to my newsletter (link below).