AI Governance, Compliance and Responsible AI Leader

Introduction to trustworthy AI principles: framework, core concepts and practical takeaways. The course breaks down governance, responsibilities and key considerations for designing, evaluating and overseeing systems that meet ethical and regulatory expectations.

Covers foundational trustworthy AI principles and their operational implications.

Explains key concepts (bias, transparency, robustness, privacy) and how to embed them into product lifecycles.

Summarises practical takeaways to hold teams accountable and set up internal governance structures.

Explores the NIST AI RMF and the GenAI Profile: governance, risk mapping, measurement and continuous management. The module identifies generative-AI-specific risks and outlines recommended controls and evidence practices.

Describes the Govern, Map, Measure, Manage framework applied to AI and its practical implications.

Analyzes generative-system risks as highlighted in NIST AI 600-1.

Outlines control types, evidence artefacts and approaches to enable continuous risk management.

Preparation for compliance with the EU AI Act regime: risk-based classification, transparency obligations and high-risk system requirements. The module also covers documentation, logging and expected human oversight practices.

Explains risk-based classification of AI systems and the resulting operational consequences.

Details AI literacy, transparency obligations and aspects related to general-purpose AI obligations.

Specifies high-risk system requirements including documentation, logging and human oversight mechanisms.

AI audit and incident response: system registry, vendor and model risk management, incident reporting and post-market monitoring. Also provides key elements for executive reporting and board-facing packs.

Introduces how to set up and populate an AI system registry to ensure traceability and auditability.

Covers vendor and third-party model risk management throughout the lifecycle.

Describes incident reporting processes, post-market monitoring and the essentials for executive-level reporting.