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Coursera

Approaches to Establish Trust in AI Systems

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Overview

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Explore the core principles and practical guidance of ISO/IEC 24028:2020, the international standard for trustworthiness in Artificial Intelligence. This training course is designed for professionals who want to understand and apply AI best practices, ethical AI, and responsible AI governance across the AI lifecycle. The course provides a comprehensive overview of the key factors that influence trustworthy AI systems, including transparency, reliability, accountability, and risk management. You will gain the knowledge and skills needed to assess, build, and deploy AI solutions that align with international standards, support ethical decision‑making, and enhance trust in AI development and deployment.

Syllabus

  • Factors affecting trustworthiness in AI systems
  • Application of trustworthiness approaches
  • Vulnerabilities in AI systems
  • Approaches for evaluating and implementing trustworthiness in AI systems and ethical and societal implications

Taught by

BSI Training Academy

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