| Date: | 19 June 2026, 09:30 – 11:00 (CET) | Price: | Free (for eligible participants) | |
| Format: | Workshop, in-person | Target audience: | Industry, public admin, academia | |
| Language: | English | Organizer: | AI:AT |
Human control is a key element of Trustworthy AI. It raises practical questions that are highly relevant for actors developing, deploying or using AI systems: How can humans understand, monitor and intervene in AI-supported processes? When is human oversight meaningful, and when does it risk becoming a mere formality? How can responsibilities and oversight mechanisms be designed in practice?
In this interactive 1.5h session, we will explore the topic of human control. Participants will work with their own AI or pre-selected use cases and reflect on oversight approaches such as human-in-the-loop, human-on-the-loop and human-in-command.
Key topics include:
- Human control as a core element of Trustworthy AI
- Human-in-the-loop, human-on-the-loop and human-in-command in practice
- Choosing appropriate oversight models for different AI use cases
- Peer exchange on practical implementation challenges
- Risks of ineffective oversight
Important: Participants are asked to bring a concrete AI use case from their own work or project context. This use case will serve as the basis for the interactive exercise and peer discussion during the workshop. There will be pre-selected use cases available for those participants not bringing a case with them.
Target audience
This workshop is designed for practitioners using and working on AI solutions, including developers, data scientists, and project stakeholders - including users, i.e., the broad public, who are interested in reflecting on human control of AI.
This webinar is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.
Entry level & prerequisites
No specific prerequisites are required. A basic understanding of AI concepts is beneficial.
Agenda & Content
- Welcome, introduction round and workshop goals
- Short input: Human control as a key element of Trustworthy AI
- Interactive activity: Human control in action
- Input: Beyond human control?
- Feedback and closing
Course format
This workshop will be delivered as an in-person interactive session.
Speakers
Peter Biegelbauer (AI Factory Austria AI:AT Legal & Ethics team)
PD Mag. Dr. Peter Biegelbauer, S.M., is responsible for ethics at the AI Factory Austria AI:AT. He is a Senior Scientist at the Center for Innovation Systems & Policy at the AIT Austrian Institute of Technology in Vienna. Peter Biegelbauer heads the AIT AI Ethics Lab, which deals with the ethical aspects of artificial intelligence and responsible innovation and has published the “Guide to Digital Administration: AI, Ethics, and Law” on behalf of the Federal Chancellery. He is also deputy head of the AIT AI Taskforce, which aims to integrate AI solutions into the AIT. Peter Biegelbauer has published more than a hundred articles on policy analysis, policy evaluation, responsible innovation, knowledge and experience in decision-making, impact assessment, and opportunities for learning from experience.
Rodrigo Conde Jiménez (AI Factory Austria AI:AT Legal & Ethics team)
Rodrigo is a PhD Researcher at the Center of Innovation Systems and Policy of the Austrian Institute of Technology. He holds a B.A. in International Relations from the Corvinus University of Budapest, as well as a Master of Public Administration from the Central European University. His work and research experience showcase his interests in technology regulation, as well as in the development and analysis of policymaking processes in the field of Innovation and Technology. Currently he is working in topics related to the Governance of AI, and AI Ethics, and is writing a dissertation on the multilevel governance of AI. He also is a member of the AIT AI Ethics Lab.
Pia Weinlinger (AI Factory Austria AI:AT Legal & Ethics team)
Pia Weinlinger, MA, is Expert Advisor at the AIT Austrian Institute of Technology and holds a Master’s degree in Science, Technology and Society Studies (STS), specialising in governance, innovation and sustainability. Pia Weinlinger is a member of the AIT AI Ethics Lab, which addresses the ethical aspects of artificial intelligence and responsible innovation. She specialises in responsible innovation and is co-author of the “Guide to Digital Administration: AI, Ethics and Law” on behalf of the BKA. Her research focuses on AI ethics and governance, in particular ethical impact assessments, requirements for the responsible development and application of AI, and the translation of (ethical) guidelines into organisational processes.
Language
English
Date, time, and location
19.06.2026, 09:30 – 11:00 (CET), Discoverer
Registration
Registration is required, the link to the registration form can be found on the top of this page in the menu on the left. Please register with your official institutional email address to prove your affiliation.
Please do not hesitate to contact us at training@ai-at.eu if you have any questions.
Organizers
This webinar is organized by AI Factory Austria AI:AT.
Acknowledgements
AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).
