AI Governance Training for Employees

Section 1: Introduction to AI in the Workplace

This section introduces artificial intelligence (AI), explaining its significance in modern work environments. Learners will explore what AI is, its various applications in the workplace—such as chatbots, content generators, and recommendation engines—and why governance and regulation are critical. This section emphasizes the importance of trust and transparency in AI use, along with the potential risks of unregulated AI impacting business operations and customer relations. Key Topics Covered:

• Definitions and real-world applications of AI
• The importance of AI governance: trust, transparency, regulation
• Risks associated with unregulated AI use in business

Section 2: Understanding the EU AI Act

In this section, learners will gain an overview of the EU AI Act, including its main provisions, key players (AI providers, deployers, users), and AI system categories. The section covers prohibited AI systems, high-risk AI systems, and general-purpose AI tools. A key focus is the August 2026 compliance deadline, which will help learners prepare for upcoming regulatory changes. Key Topics Covered:

• Summary of the EU AI Act and its implications
• Different categories of AI under the Act (prohibited, high-risk, general-purpose)
• Compliance timeline and key deadlines

Section 3: Your Rights & Responsibilities

This section focuses on the rights and responsibilities employees have when interacting with AI systems in the workplace. Learners will explore the right to be informed about AI interactions, the right to explanations for automated decisions, and the responsibility to report AI misuse. The section also covers the importance of transparency and documentation under the EU AI Act. Key Topics Covered:

• Employees' right to be informed and to request explanations
• Reporting AI issues or violations within the organization
• Transparency and documentation requirements for AI systems

Section 4: Risks of Misuse and How to Prevent Them

In this section, learners will explore common examples of AI misuse, such as discriminatory outputs, deepfakes, and privacy violations. The focus will be on how to use AI tools responsibly, including how to prevent misuse and the importance of human oversight. This section emphasizes the need for vigilance in identifying risky AI applications and implementing safeguards. Key Topics Covered:

• Examples of AI misuse: discriminatory outputs, deepfakes, privacy breaches
• Safe use of AI tools like ChatGPT, image generators, and automation bots
• The importance of human oversight and accountability in AI use

Section 5: Using AI Safely at Work

The final section covers best practices for safely using AI at work, including understanding and following company AI policies. Learners will learn when to escalate the use of new AI tools, how to check for compliance and risk, and the role of whistleblowing protections in reporting misuse. The section also discusses the role of ethics committees and legal teams in reviewing AI systems and ensuring responsible use. Key Topics Covered:

• Adhering to company AI policies
• Escalating new AI tools for review and approval
• Whistleblowing protections under Article 87 and the role of ethics committees

Section 6: Summary and Assessment

This final section reviews the key concepts covered throughout the course. Learners will consolidate their understanding through a structured assessment. Successful completion of the course will result in certification, which can be used for audit purposes and employee documentation. Key Topics Covered:

• Recap of AI governance and compliance principles
• Review of key employee responsibilities when interacting with AI
• Final assessment to measure learning and knowledge retention