EU AI Act Practitioner

The EU AI Act is the world’s first horizontal and standalone law governing the commercialization and use of AI, and a landmark piece of legislation for the EU. Among the various provisions of the EU AI Act, the “AI literacy” principle is an often overlooked but key obligation which requires organizations to ensure that staff who are involved in the operation and use of AI have the necessary skills, knowledge and understanding to adequately assess AI-related risks and opportunities (e.g., through training and hiring staff with the appropriate background and skillset). This obligation – which applies from February 2, 2025 – is one of the few obligations under the EU AI Act that applies to all AI systems i.e., irrespective of the level of risk that the AI system presents. 

The EU AI Act requires that organizations need to “take measures to ensure, to their best extent, a sufficient level of AI literacy”. It requires in particular that the level of AI literacy aligns with the technical knowledge, experience, education, and training of relevant staff as well as the context in which the AI system is used.

Learning Outcomes

Delegates will learn how to;

• Identify AI Usage/Development: Determine how employees currently use or develop, or plan to use or develop AI in the near future;
• Assess Understanding of AI: Evaluate employees’ current AI knowledge – e.g., through surveys / quizzes – to pinpoint specific knowledge gaps;
• Leverage Internal Expertise: Learn how to utilize the skills of appropriate teams within the business to assist with the development and delivery of the program. 
• Leverage External Expertise: Identify and engage with external experts where internal knowledge is lacking or recruit staff with the appropriate expertise (e.g., from a legal or IT perspective) – in particular in relation to decision-making around high-risk AI output that could have an impact on fundamental rights;
• Develop an AI Literacy Programme: Create a tailored AI literacy program with clear objectives and a curriculum that addresses key topics. In particular, for example, staff involved in interpreting AI output or conducting AI risk assessments should receive more specialized training than staff merely engaged in the use of AI;
• Identify, Distribute and Train: Learn how to provide training materials through various platforms, ensuring they are engaging to boost motivation;
• Encourage Practical Experience: Facilitate opportunities for employees to apply their AI knowledge in real-world scenarios;
• Implement Feedback Mechanisms: Collect feedback from employees on the program’s effectiveness and track key performance indicators (KPIs) to measure the impact on AI literacy;
• Document Thoroughly: Keep detailed records of all training activities and materials to demonstrate compliance; and
• Regularly Update: Continuously refresh the program to stay current with the latest requirements and implement ongoing education plans to ensure AI literacy is an ongoing effort, not a one-time task.

Course delegates are assessed throughout the course with quizzes to be completed on Day 1 and Day 2, with a final 10 question, essay style exam on the afternoon of Day 3.

The combined scores must exceed 70% to attain a passing mark. Delegates who succeed are awarded a Certificate of Achievement.

A fundamental knowledge of AI principles would be advantageous but not necessary.

• Participant Guide
• AI definitions
• Supporting links to GDPR and Infosec standards
• Examination fees

The course is designed for;

• Delegates with responsibility for AI systems
• Staff who use AI systems to provide value
• Senior Managers considering the deployment or use of AI to achieve business objectives
• IT Risk specialists