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
 7 Hours

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