AI Governance, Risk & Compliance

This lesson covers the concept of Shadow AI and its management within an organization. You will learn how to build an AI inventory table that ensures safe and controlled AI use in order to prevent data leaks and risks.

This lesson covers the concept of an AI risk register, its importance in business processes, and the practical steps for creating one. You will learn how a risk register turns ad-hoc AI use into a controlled, transparent process, helps avoid common misconceptions, and enables safe innovation.

This lesson covers the importance of AI vendor assessment and teaches you how to create a vendor questionnaire to ensure safe and controlled use of AI within your organization. We will cover practical steps, examples, and common mistakes.

This lesson covers the importance of EU AI Act compliance and how a risk classification matrix turns AI governance principles into everyday, operational rules. Students will learn how to build this matrix for a specific AI use case in order to ensure safe and controlled AI integration within a company.

This lesson covers how to ensure safe and controlled use of AI within a company while complying with GDPR principles. We will learn how to create a data flow map as a practical tool for turning AI governance into an everyday rule.

This lesson covers the importance of a DPIA (Data Protection Impact Assessment) for AI systems, teaches you how to create and adapt a DPIA template to your company's needs, and introduces practical applications and common mistakes. The goal is for AI use to be structured, safe, and compliant with regulations.

This lesson covers the importance of a data residency decision record in AI governance. You will learn how to turn ad-hoc AI use into a structured, controlled process that accounts for data security, risk management, and audit evidence.

This lesson covers the challenges of ad-hoc AI use within companies and introduces a security checklist as a practical tool for ensuring AI governance. You will learn how to create, customize, and use such a checklist to prevent data leaks and ensure safe, controlled use of AI.

This lesson covers the concept of Human-in-the-Loop (HITL) control and its importance in AI governance. You will learn how to translate AI policies into practical, day-to-day rules by creating a 'control design' to ensure safe and responsible use of AI within an organization.

This lesson covers the importance of AI audit trail requirements for transparent and controlled use of AI within a company. You will learn how to translate AI governance policy into practical, day-to-day rules in order to avoid ad-hoc, uncontrolled AI use.

This lesson covers the concept of Model Risk Assessment (MRA) as a critical tool for AI governance. You will learn how to turn ad-hoc AI use within a company into a structured, controlled process through a scoring model that ensures safety, compliance, and efficiency.

This lesson covers the concept and importance of an operational charter for an AI ethics committee. It shows you how to turn ad-hoc AI use into a structured, controlled process that ensures safety and transparency.

This lesson covers the concept of Copilot Studio governance as a means of structuring AI use within a company. You will learn how to turn a general policy into a day-to-day rule through practical examples and step-by-step instructions.

This lesson covers the concept of an enterprise AI access matrix as a tool for structuring ad-hoc AI use within a company. It teaches you how to create an access matrix that defines permitted use, prohibited data, approval processes, and responsible roles, thereby ensuring transparent and controlled AI governance.

This lesson covers the importance of creating and using an AI incident response playbook. It will help you move from ad-hoc AI use to structured, controlled processes that ensure your company's data security and compliance.

This lesson covers the importance of AI awareness within an organization and how to turn AI governance policies into practical, day-to-day rules through a training program. You will learn how to develop an effective AI training plan, its components, and common misconceptions.

This lesson covers the importance of AI governance reporting and teaches you how to build a board reporting dashboard. You will learn how to turn AI use from an ad-hoc activity into a structured, controlled process that ensures safety and transparency.

This lesson covers how to build a 90-day GRC (Governance, Risk, Compliance) roadmap for AI use within a company. We will learn how to turn ad-hoc AI use into a controlled and transparent process by implementing clear rules, responsible roles, and audit evidence.

In this lesson, you will learn how to assemble a Capstone Governance Pack — a practical tool that turns AI use within a company from ad-hoc to structured. You will get to know its components, the steps for creating it, and its real-world application in order to ensure safe and effective AI governance.