EU AI Act (Article4) Fundamentals Training Course
Understanding and Implementing the EU AI Act
As of 2nd February 2025, the EU Regulation on Artificial Intelligence, known as the EU AI Act, is officially in force. But does this mean AI training is now mandatory? Absolutely. The EU AI Act explicitly requires companies to prepare their employees thoroughly in handling Artificial Intelligence (AI) by providing targeted and effective AI training. The ultimate aim is to ensure that AI systems are used safely and ethically within organizations.
What does this mean for your organization?
- How should you correctly implement the mandatory AI training?
- Which specific topics should your training cover?
With the rapid evolution of AI technologies, associated risks have also increased significantly. Inadequately trained staff, ethical pitfalls, and data misuse can lead to serious repercussions for both businesses and society. Through the EU AI Act, the EU not only aims to promote secure and responsible AI use but also to enhance Europe's overall competitiveness in this critical field.
Scope of Mandatory AI Training
The EU AI Act distinguishes between different risk categories of AI systems. Depending on whether your organization employs high-risk AI (such as in medicine or finance) or lower-risk systems, the specific training obligations may vary.
Organizations Obliged to Comply:
- Companies that develop, operate, or use AI systems and tools.
- Providers and operators of high-risk AI systems.
- Organizations that process personal data using AI-driven applications.
Training Objectives
By participating in mandated AI training, employees will be equipped to:
- Understand how AI systems function and their potential applications.
- Identify risks and limitations associated with AI systems.
- Adhere to relevant legal and ethical requirements.
This comprehensive training ensures your organization is compliant, minimizes risks, and empowers your workforce to leverage AI safely and ethically.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Welcome and Introduction
Fundamentals of Artificial Intelligence
- Definitions and functions of AI
- Machine Learning vs. Neural Networks vs. other AI technologies
- Practical application areas
Legal Framework
- EU AI Act and national implementation
- General Data Protection Regulation (GDPR) in AI contexts
- Liability issues with AI systems
Ethical and Societal Aspects
- Bias and discrimination in AI
- Transparency and traceability
- Corporate responsibility in AI usage
Technical Competence
- Introduction to data analysis and machine learning
- Basic understanding of algorithms and data processing
- Practical use of AI tools and platforms
Risk Management
- Identification and assessment of risks
- Measures to minimize errors and misuse
- Monitoring and regular review of AI systems
Requirements
- None
Audience
- Organizations that develop, operate, or use AI systems or tools
- Providers and operators of high risk AI systems
- Organizations that process personal data for AI-based applications
Open Training Courses require 5+ participants.
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Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.
Ireneusz - Inter Cars S.A.
Course - Intelligent Applications Fundamentals
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