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Course Outline

Opening Remarks and Introduction

Basics of Artificial Intelligence

  • Definitions and roles of AI
  • Machine Learning vs. Neural Networks vs. other AI technologies
  • Areas of practical application

Legal Structure

  • EU AI Act and its implementation at the national level
  • General Data Protection Regulation (GDPR) in the context of AI
  • Liability concerns regarding AI systems

Ethical and Social Dimensions

  • Bias and discrimination within AI
  • Transparency and traceability
  • Corporate accountability in AI usage

Technical Proficiency

  • Introduction to data analysis and machine learning
  • Fundamental understanding of algorithms and data processing
  • Practical utilization of AI tools and platforms

Risk Control

  • Identification and evaluation of risks
  • Strategies to minimize errors and misuse
  • Ongoing monitoring and periodic review of AI systems

Requirements

  • None

Target Audience

  • Organizations that create, manage, or use AI systems or tools
  • Suppliers and operators of high-risk AI systems
  • Organizations that process personal data for AI-based applications
 7 Hours

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