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, has come into effect. Does this mean that AI training is now mandatory? Yes, it does. The EU AI Act clearly stipulates that companies must provide their employees with targeted and effective AI training to ensure they can handle Artificial Intelligence (AI) systems safely and ethically within the organization.
What does this mean for your organization?
- How should you effectively implement the mandatory AI training?
- What specific topics should your training cover?
With the rapid advancement of AI technologies, the associated risks have also escalated. Inadequately trained staff, ethical challenges, and data misuse can lead to severe consequences for both businesses and society. The EU AI Act aims not only to promote secure and responsible AI use but also to enhance Europe's competitiveness in this crucial domain.
Scope of Mandatory AI Training
The EU AI Act differentiates between various risk categories of AI systems. Depending on whether your organization uses high-risk AI (such as in healthcare or finance) or lower-risk systems, the specific training requirements 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 the 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 that your organization remains 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
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Testimonials (2)
It was fairly interactive, quite well focused on our areas of interest. It gives a good base for further development in the area
Donal Carroll - Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
The trainer was well prepared and had great examples.
Rares Baba - Emerson
Course - Boost Your Productivity with Microsoft Copilot 365
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