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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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