Page 9 - U4SSC Case study Hong Kong, China
P. 9

Figure 1: Overview of ethical AI framework








































            The framework set out twelve ethical AI principles.


            Two fundamental principles are as follows:


            •  Transparency and interpretability: This aims at ensuring explainability, transparency and
                provability; and
            •  Reliability, robustness, and security: This aims at ensuring that AI applications behave as
                intended, from training data to final output, over prolonged periods of time.


























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