About the Training
The AI Literacy & Ethics: Responsible AI Use in Practice training introduces you to the core principles of AI in an accessible way. You learn not only what AI can do, but also how it works, which types of data it needs and when it should or should not be used.
You explore real examples from different sectors and see how AI already appears in daily processes. You also look at risks, limitations and ethical questions such as transparency, privacy and responsible use. In the second part of the training, you work with a concrete case so you experience which choices are involved in setting up an AI initiative.
Objectives
After this training you have a solid understanding of the basic principles of AI and how they apply in practice. You can identify where AI might add value, which risks to consider and what the impact can be on your own work. You leave with concrete ideas and tools to start exploring and assessing AI solutions in your organization.
After this training, participants will be able to:
- Understand AI: Basic concepts, applications, and limitations.
- Recognize risks: Bias, privacy, transparency, and accountability.
- Apply the EU AI Act: Understand classification, obligations, and governance.
- Integrate ethics: Analyze and mitigate ethical dilemmas.
- Use AI tools responsibly: Hands-on experience with prompting and decision-making.
Outcome after attending this two-day training:
- Practical knowledge to implement AI projects compliantly and ethically.
- A toolkit with checklists for AI risk assessment and ethical decision-making.
- Certificate of participation in the two-day AI Literacy & Ethics training.
Programme
Part 1 – Fundamentals of AI and data
You build a clear foundation in what AI is, how it works and how it uses data.
Key elements:
• Understanding core concepts such as AI, machine learning and algorithms
• The role of data, data quality and bias in AI systems
• How AI models learn and why they sometimes make mistakes
Part 2 – AI in practice and in your organization
You explore practical applications of AI and apply the concepts to a real case.
Key elements:
• Examples of how AI is used in services, operations and decision making
• Identifying processes and services that could benefit from AI
• Working with a case to experience which steps and choices are needed in an AI project
Part 3 – Risks, ethics and next steps
You look at the responsible use of AI and what this means for your role.
Key elements:
• Ethical questions around transparency, privacy and accountability
• Recognizing opportunities and risks in your own context
• Defining first steps to start working with AI in a structured and responsible way