#responsible AI - Europe's path to success?
uDay XXIV
Thursday, 21 May 2026 |
|
08.00 AM - 5.30 PM |
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FHV, Building A, Assembly hall (Campus map) |
What to expect?
The conference offers you the opportunity to address key issues surrounding responsible AI: How can Europe's approach to #responsible AI become an international success story – a model that combines data protection, ethical responsibility and economic competitiveness? And how can genuine trust in AI systems be built, rather than simply demanded?
Let's deepen the dialogue, share knowledge and develop ways to achieve a responsible and competitive AI future.
Conference tracks
Track 1 – From compliance to competitiveness
How can regulation become a driver of trust-based innovation?
Case studies from companies and start-ups are particularly welcome.
Track 2 – AI as a legal and ethical challenge
Methods, frameworks and governance approaches for responsible AI and data protection by design.
Track 3 – AI in education, culture and society
Europe's values as a creative alternative to data-driven models – and a look into the future of advanced AI.
Programme
| 08:00 AM | Check-In |
| 08:30 AM |
Welcome & Introduction |
| 08:45 AM |
KEYNOTE I: AI requires expertise: perspectives from edication, practice and European initiatives |
| 09:30 AM |
KEYNOTE II: Building Digital Trust ?from moral appeal to concrete design perspective |
| 10:15 AM |
Poster- & Workshop-Pitches (Teaser) + Workshop-registration |
| 10:45 AM |
Poster-Session & Coffee (Assembly hall) |
| 11:15 AM |
Paper-Session I |
| 12:45 AM |
Lunch (Assembly hall) |
| 01:30 PM |
Paper-Session II |
| 03:00 PM |
Break and change to Workshops |
| 03:30 PM | Workshop-Session I à 50 Minuten The workshops are described in more detail below. |
| 04:30 PM |
Workshop-Session II à 50 minutes |
| from 05:30 PM |
Get together at Café Campus |
- Advancing Responsible AI through Education, Research, and Societal Engagement
Salome Wagner, Peter Knees - An educator's perspective on the advantages of data protection and trustworthiness in AI in academic learning environments, with a special focus on mathematics education
Roland Gunesch - Automatisierte Messung des Energieverbrauchs von Software
Alessandro Aneggi, Andrea Janes - D2A / A3: KI als Bindeglied zwischen Mensch, Avatar und Metaversum
Peter Hoffmann - Entschlüsselung von Innovationspotenzialen der Interaktion zwischen Mensch und Generativer Künstlicher Intelligenz
Silvia Kätzler - Epistemische Resilienz statt Tool-Kompetenz: Medienbildung als zentraler Faktor der Lehrpersonenbildung
Georg Winder - KI als Werkzeug wissenschaftlicher Praxis: Future Skills an der FHV – University of Applied Sciences
Claudia Franceschini, Paul Ellersdorfer, Karin Kaltenbrunner, Edna Fitz - KI in der Forschung: Geteilte Verantwortung von Wissenschaftsakteuren, Institutionen und Gesellschaft
Katrin Paldán, Julia Reiner, Fabian Rebitzer - Recommendations Explained: Towards Transparency and Fairness for Various Stakeholders
Shahrzad Shashaani, Peter Knees - Responsible AI Mathbot
Elias Berchtold, Cengizhan Aydin, Pablo Zuder - Wie erleben Lernende das Erlernen mathematischer Kompetenzen mit einem KI-Tutor?
Adrian Bachmann, Christoph Erath - You Shall (Not) Work: Ein Stimmungsbild zur Zukunft von Arbeit durch KI
Marcus Bentele, Andreas Mittermeier, Alexander Summer, Sabrina Schneider - Die Transformation medialer Repräsentation: Evolution diskreter Codierung – Minimale Zeichenvarianz bei maximaler algorithmischer Dichte
Thomas Schroffenegger
- A Standard for Disclosing Responsible Generative AI Use in Student Work: A Framework and Checklist
Buehler Florian - Beyond the Prompt: The Rise of Agentic AI and its Implications for Responsible Cultural Education in Europe
Alexander Pfeiffer - Blessing or Burden? The EU AI Act and the Future of Forensic AI
Chantal Heubach, Max Blaschke - Edge-Privacy und Transparenz – Der Weg zu einem verantwortungsvollen KI-Tagesbegleiter
Alexander Lutz - Ethische Bildung in Zeiten der KI: Wie Schulen Europas Modell verantwortlicher KI konkret machen – und damit globale Zukunftsfähigkeit schaffen
Thomas Cavelius - Governing Generative AI in Sustainable Smart Manufacturing: Towards Responsible Industry 5.0 Ecosystems
Thomas Absmayr, Martin Dobler, Silvia Kätzler - KI braucht Kompetenz: Perspektiven aus Bildung, Praxis und europäischen Initiativen
Martin Kandlhofer - Künstliche Intelligenz in der Hochschulverwaltung: Ergebnisse einer Querschnittbefragung an Hochschulen in Baden-Württemberg
Julian Lingnau, Fulya Ay, Marius Hofmeister, Alexander Pfister - Organizational factors for responsible AI Innovation: Causal recipes for AI Innovation project set-ups
Franziska Anna Röckel, Max Blaschke, Benjamin van Giffen - Pro-human AI Design: Ein Aufruf
Thilo Stadelmann, Christoph Heitz, Rebekka von Wartburg-Kottler, Andrea Luca Schärer - Responsible AI als Herausforderung für akademischen Kompetenzerwerb
Sebastian Meisel, Filiz Lohr - SIMKI – SIMulation mit Künstlicher Intelligenz
Marie-Therese Kämpf, Lisa Guth - St.Galler KI-Kompetenzrahmen für die Bildung: Vorstellung & Diskussion
Stefanie Schallert-Vallaster, Josef Buchner, Steve Bass, Manuel Garzi, Lisa Hermann, Martin Hofmann, Maria Mannai, Samuel Müller, Charlotte Nüesch, Konstantin Papageorgiou, Georg Winder - Security and Privacy Implications of AI-Mediated Grief: An Evaluation of Commercial Griefbots
Zyyad Ali, Astrid Weiss - The “Third Path”? Re-Thinking Europe’s Role in Non-Aligned Models of AI Governance
Tobias Burgers - The EU AI Act and Data Act: Paving the way for responsible data sharing in the maritime sector?
Lenneke Sprik - “I Know You’re Not Human”: Non-Knowledge, Enlightenment, and the Limits of Social AI
Simone Broders - Von der Transparenz zum Geschäftswert: Werttreiber und Messung des multidimensionalen ROI von Explainable AI
Nicolas Hellbrück, Michael Ludwig, Tobias Greff
- AI Literacy in der Praxis: Verstehen, einordnen und vermitteln
Martin Kandlhofer - AI as an ally, teacher in control
Age Wesselius, Lynn Veldmate - Applying a Control-Accountability Alignment Framework to AI-based Health Applications
Philipp Lizat, Lena Buchberger - Human Transformers: Bias spielerisch erfahrbar machen
Cengizhan Aydin, Kilian Strasser - Responsible AI Mathebot – Algebra Schritt für Schritt
Elias Berchtold, Pablo Zuder, Cengizhan Aydin - SIMKI – SIMulation mit Künstlicher Intelligenz
Marie-Therese Kämpf, Lisa Guth - Transparent AI Research – How to Use AI Responsibly in Research
Josef Mayerhofer
Event language
German, English
Audience
Anyone working at the intersection of artificial intelligence, law, ethics and innovation: data scientists, lawyers, ethicists, educators, students, cultural professionals, companies and innovative businesses, as well as political decision-makers.
Participation
- Participation as a Contributor:
Final contributions must be submitted no later than 30 April 2026. - Participation as a Visitor:
Participation as a "Visitor" is free – register ▷ here.
Teachers can participate as part of professional development through the University of Teacher Education Vorarlberg (with a PH account): course information is available in the PH continuing education catalogue.
Keynotes
DI Dr. Martin Kandlhofer
Senior Researcher for AI Education & Educational Robotics at the Austrian Computer Society, OCG
Keynote: AI needs competence: perspectives from education, practice and European initiatives
AI needs competence: perspectives from education, practice and European initiatives The presentation covers everything from current AI developments and European education initiatives and framework conditions to specific training and certification programmes. The focus is on the question of what AI literacy actually means and what contribution educational institutions, EU projects and non-profit organisations such as the OCG can make in this regard.
About the speaker: Martin Kandlhofer works in the field of research and innovation at the Austrian Computer Society (OCG). He completed a master's degree in software development and a doctorate in computer science at Graz University of Technology. His work focuses on artificial intelligence, educational robotics and computational thinking. He is involved in national and international projects, including as a senior researcher and project coordinator for the EU project EDLRIS, and has completed research stays in Ireland and the USA.
Dr. Christopher Koska
Senior Researcher, Center for Responsible AI Technologies and AI Production Network (Centre for Future Production), University of Augsburg
Keynote: Building Digital Trust – from Moral Appeal to Practical Design Perspectives
Trustworthy AI, Responsible AI, Human-in-the-Loop – hardly any discussion about artificial intelligence today takes place without these terms. They promise orientation, safety and trust in an increasingly automated world. Yet, on closer inspection, it often remains unclear what they actually mean – and, more importantly, how these promises can be realised in practice. With his Response & Responsibility Framework, Christopher Koska shifts the focus away from purely normative demands towards an application-oriented design perspective. This approach centres on the concrete design of socio-technical systems in which human and technical actors interact and operate together.
About the Speaker: Christopher Koska works at the intersection of science, technology and corporate practice. For more than ten years, he has been advising organisations on the conception and implementation of Corporate Digital Responsibility (CDR) initiatives. Previously, he worked as an IT project manager at an international media company, where he was responsible for the development of digital learning, knowledge and educational media. As a Senior Researcher at the Center for Responsible AI Technologies, he coordinated projects on AI assistance in ethically complex decision-making situations. From February 2026 onwards, he will contribute his expertise to the AI Production Network Centre for Future Production at the University of Augsburg.
Contacts
The FHV is committed to a sustainable event culture. This event is organised according to the criteria of „ghörig feschta“ and pays attention to appropriate measures and conscious practices.