International Week: Friend or Foe? Unleashing the creative Power of Generative AI

  • 13 May, 2024 - 16 May, 2024
  • UAS Technikum Wien: F0.01

(Generative) AI is reshaping the way we live, teach, and learn. And while AI has definitely arrived in higher education teaching, lecturers and students remain at the center: in addition to specialist knowledge, students need numerous skills and competencies for a critical, reflective, and confident approach to (generative) AI. Therefore, we cordially invite you to our annual International Week on AI: Friend or Foe? Unleashing the Creative Power of (Generative) AI:

Monday, May 13, 2024 | Welcome and Key Notes

  • 12.30-13.00 | Welcome by Rector Sylvia Geyer
  • 13.00-13.45 | Key Note When AI Takes Decisions for us: Opportunities and Challenges for Society, Carina Zehetmaier (CEO of Paiper.One und AILands), Chair: Bernhard Knapp
  • 14.00-14.45 | Key Note Sharing Insights Into National AI Training Material, Bernhard Knapp (UAS Technikum Wien), Chair: Lars Mehnen
  • 15.00-15.45 | Use of AI in Health-Related Projects: Input by Stefan Dinges (University of Vienna) followed by panel discussion

Tuesday May 14, 2024

09.00-13.00 | Session 1: AI in Teaching and Research (chaired by Patrick Eisner and Sylvia Lingo)

  • Teaching and Learning Center Technikum Wien: Working Group Discussion on Application Examples of Selected Courses and Study Law Topics
  • Petri Hannula: AI Tools in the Process of Creating Teaching Material
  • Volker Ahlers: Teaching AI in Computer Science
  • Tuomas Valtanen: Coding vs. AI development – The Synergies of Best Practices
  • Lorenz Huber: The Cultural Intelligence of CHAT GPT4

Wednesday May 15, 2024

09.00-13.00 | Session 2: AI and Beyond (chaired by Momir Tabakovic and Stefan Litzenberger)

  • Andrey Koptyug: To which Extent AI can and Should Replace Human Efforts
  • Jung Kyu Canci: Applications of Machine Learning in Industry: with a Particular View in Healthcare and Financial Environments
  • Thiago Pinto: AI Applications in Power and Energy Systems
  • Munkhbayar Buyan, Khangaisaikhan Nyamdorj: Building Renewable Energy Application in Extreme Cold Climate
  • David Fellner: Data-driven misconfiguration detection in power distribution systems

No registration is needed.