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Chapter 01. Learning Objectives

  • Identify the concept of trustworthy AI and its importance in AI development
  • Define the three core pillars of trustworthy AI: ethical soundness, legal accountability, and technical stability.
  • Explain how failures in trustworthiness affect real-world AI deployments using global case studies.
  • Describe how international frameworks (e.g., UNESCO, EU AI Act) operationalize trustworthy AI principles.
  • Interpret the AI development lifecycle as a structure for embedding trustworthiness from planning to deployment.