| Date: | 20 January 2026, 11:00 – 12:00 (CET) | Price: | Free (for eligible participants) | |
| Format: | AI:AT Webinar, ONLINE (Zoom) | Target audience: | Academia, industry, public admin | |
| Language: | English | Organizer: | AI:AT & ASC |
Artificial intelligence (AI) must be human-centered and trustworthy. This concept is based on three specific requirements: AI must be lawful, ethical, and robust.
This one-hour webinar provides an overview of what constitutes lawful AI and which ethical requirements must be taken into account. It lays the foundation for two further webinars in this series, which will then take a more in-depth look at ethical and legal requirements.
At the end of the webinar, participants will know the main requirements arising from the AI Act, data protection, and copyright law when training or simply using artificial intelligence. In addition, they will learn how adhering to core ethical requirements helps to keep pace with technological developments in a responsible manner.
Target audience
Everyone is welcome who wants to learn about the basic ethical and legal requirements for trustworthy AI from the experts of the AI Factory Austria AI:AT.
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
Beginner – basic knowledge of artificial intelligence and its applications.
Agenda
11:00 Welcome & Presentation of AI-Factory Austria AI:AT
11:05 Foundations of Trustworthy AI – Ethical and Legal Requirements
11:50 Questions & Discussion
Speakers
Peter Biegelbauer (AI Factory Austria AI:AT)
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.
Michael Löffler (AI Factory Austria AI:AT)
DI Michael Löffler is a computer scientist currently studying law. At AI Factory Austria AI:AT, he coordinates Law, Ethics, and Regulation. He has been working on issues at the intersection of technology and law for more than 17 years. During this time, he worked for renowned law firms, served as the Data Protection Officer (DPO) and Chief Information Security Officer (CISO) of the AIT Austrian Institute of Technology – Austria's largest non-university research institution – and conducted research on digital fundamental rights. As an editorial board member of the journal Datenschutz konkret (Dako), he continuously publishes on data protection issues and is involved in training data protection officers in collaboration with Business Circle.
Language
English
Date, time, and location
20.01.2026, 11:00 – 12:00 (CET), LIVE ONLINE WEBINAR (Zoom)
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.
You will get the Zoom link in the automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders). We will also send 1–2 reminders before the webinar.
Please do not hesitate to contact us at training@ai-at.eu if you have any questions.
Organizers
This webinar is jointly organized by AI Factory Austria AI:AT and Austrian Scientific Computing (ASC) (aka ASC Research Center, TU Wien).
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).
