Research Center Trustworthy Data Science and Security

Research Center Trustworthy Data Science and Security

Building Trust in Intelligent Systems

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The Research Center Trustworthy Data Science and Security is a hub for interdisciplinary research focusing on building trust in artificial intelligence, machine learning, and cyber security. The center aims to develop trustworthy intelligent systems through research in trustworthy data analytics, explainable machine learning, and privacy-aware algorithms. By addressing the intersection of technological progress and social acceptance, the center seeks to enable private citizens to understand and trust technology in safety-critical applications.

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Features

Advantages

  • Development of trustworthy intelligent systems
  • Enhanced understanding of technology for private citizens
  • Addressing safety-critical applications
  • Innovative research in data analytics and machine learning
  • Promoting social acceptance of technology

Disadvantages

  • Complexity of interdisciplinary research
  • Challenges in balancing privacy and functionality
  • Need for continuous technological advancements

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