Understand AISIA terminology, purpose and core elements within an AI risk management framework.

Explain how AISIA aligns with ISO/IEC 42001, ISO/IEC 23894, and the supporting role of ISO/IEC 42005 annexes.

Apply AI system impact assessments to identify, assess and manage AI risks across the system lifecycle.

Explain what AI is, why it matters, and how ISO/IEC 42001‑based AI management systems enable responsible organizational use.

Identify key AI governance concepts, processes, principles, structure, and terminology required by ISO/IEC 42001.

Develop and apply an AI risk management framework, including required documentation and risk analysis for a given scenario.

Explain the rationale for EU AI regulation and identify when the EU AI Act applies, based on its scope and territorial reach.

Assess whether a system qualifies as AI under Article 3(1) of the EU AI Act.

Differentiate the roles and responsibilities of AI providers and deployers under the EU AI Act.

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.