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Artificial Intelligence (AI) is rapidly transforming our world, offering tremendous potential to improve efficiency, productivity, and decision-making across various industries. However, AI systems’ increasing complexity and pervasiveness raise concerns about their ethical implications and the need for transparency. This tutorial will provide a comprehensive overview of the principles and practices for fostering integrity in AI development and deployment. The tutorial will consist of five presentations, a practical hands-on session, and a panel discussion with experts from industry and academia.


  • Learn to apply ethical principles to data-driven decision-making and develop integrity indicators to measure and monitor data and algorithm quality
  • Gain insights into the latest trends in explainable AI (XAI) and how to implement XAI techniques
  • Discover practical applications of XAI in various industries, including finance, healthcare, and law, and network with experts in the fields of data ethics, integrity, and XAI to share best practices and stay up-to-date on the latest developments
  • Enhance the understanding of the ethical implications of AI and develop strategies for building trustworthy and responsible AI systems


13:30 – 14:00 Intro
  • Tutorial Intro
  • Digital Ethics Umbrella
14:00 – 15:00 Theory
  • Ethical and Explainable Recommender Systems Intro
  • XAI in Financial Sector
  • XAI in Healthcare
  • XAI in Large Language Models
15:00 – 15:30 Break
15:30 – 16:15 Practice
  • Data and AI Integrity Framework
  • Practical Session: Measuring Integrity
16:15 – 17:00 Interactive panel
Participation of business and academic experts


  • Prof. Dr. Branka Hadji Misheva, Bern University of Applied Sciences

  • Prof. Dr. Bruno Frischherz, Lucerne University of Applied Sciences and Arts

  • Dr. Guang Lu, Lucerne University of Applied Sciences and Arts

  • PD Dr. Luis Terán, Lucerne University of Applied Sciences and Arts

  • Dr. Omran Ayoub, University of Applied Sciences and Arts of Southern Switzerland

  • Dr. Sarah Seyr, Lucerne University of Applied Sciences and Arts