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Training on EU AI Regulation for Educators

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  1. Understanding AI and Its Applications
    2 Kappaleet
  2. AI Risk Levels and Regulations
    2 Kappaleet
    1. AI Risk Categories
    2. EU AI Act
  3. Legal and Ethical Implications
    2 Kappaleet
  4. Compliance with EU Regulations
    2 Kappaleet
  5. Safety and Fundamental Rights
    2 Kappaleet
  6. Reporting and Complaint Procedures
    2 Kappaleet
  7. Supporting Innovation and Experimentation
    2 Kappaleet
  8. Future Trends in AI and Education
    2 Kappaleet
  9. Conclusion and Next Steps
    2 Kappaleet

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Training on EU AI Regulation for Educators AI Risk Levels and Regulations
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AI Risk Levels and Regulations

Jukka 5 helmikuun, 2025

This intricate artwork visually represents the equilibrium between AI risk management and regulatory frameworks within European academic settings. The image seamlessly blends elements of artificial intelligence, such as complex circuit designs and digital interfaces, with traditional academic symbols like books and classroom desks. Alongside these, symbols of rule enforcement, including a judge's gavel and balanced scales, are subtly integrated with European motifs like the EU flag and map. The composition captures the careful balance between surveillance and innovation, reflecting the nuanced regulation of AI technologies in education across Europe.

Welcome to this lesson on AI Risk Levels and Regulations, where we will explore the critical framework governing the use of artificial intelligence in the European Union, particularly as it pertains to educational settings. As educators, understanding these regulations is essential not only for compliance but also for ensuring the ethical deployment of AI technologies in our institutions.

In this lesson, we will outline the varying risk levels associated with AI systems and delve into the relevant EU regulations that categorize these risks. The focus will be on two primary topics:

  1. AI Risk Categories: Here, we will examine the different classifications of AI systems based on their potential impact and the associated risks. We will discuss what constitutes high-risk applications, including systems that assess individuals’ risks based on profiling or facial recognition technologies, as well as the implications of using AI in educational environments.

  2. EU AI Act: This section will provide a comprehensive overview of the EU AI Act, emphasizing its approach categorizing AI systems as unacceptable risk, high risk, or minimal risk. We will highlight key provisions, such as conformity assessment procedures for high-risk AI providers, the importance of post-market monitoring, and the transparency obligations that apply to AI systems that interact with individuals or create content.

By the end of this lesson, you will have a clearer understanding of the landscape of AI risk levels and the regulatory framework guiding AI implementation in education. This knowledge will empower you to make informed decisions regarding the use of AI technologies in your teaching practices while safeguarding your students’ rights and well-being. Let’s get started!

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