Approaches to Establish Trust in AI Systems

About this course

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.

What you will learn

• Analyse factors influencing AI trustworthiness, including enhancement and evaluation approaches and their ethical and societal implications.
• Assess how trustworthiness approaches are applied in AI systems, using methods to evaluate trust across different contexts.
• Design and improve trustworthy AI by identifying vulnerabilities and implementing measures to mitigate risks.