Trustworthy AI: Legal Aspects
Date: 12 November 2026, 10:00 – 11:00 (CET)Price: Free (for eligible participants)Format: AI:AT Webinar, ONLINE (Zoom)Target audience: Industry, public admin,…
About this event
Date: 12 November 2026, 10:00 – 11:00 (CET)Price: Free (for eligible participants)Format: AI:AT Webinar, ONLINE (Zoom)Target audience: Industry, public admin, academiaLanguage: EnglishOrganizer: AI:ATArtificial intelligence (AI) must be human-centered and trustworthy. This concept is based on three specific requirements: AI must be lawful, ethical, and robust.This webinar builds on the previous event Fundamentals of Trustworthy AI and provides in-depth insights into the legal requirements that must be met when developing and using AI. In a one-hour online seminar, knowledge about requirements arising from the AI Act, the General Data Protection Regulation (GDPR), and copyright law is imparted.At the end of the webinar, participants will know which risk classes the AI Act recognizes and what requirements arise from them. Furthermore, a solid understanding of data protection challenges will be conveyed and the tasks that organizations must perform in order to use AI in a data protection compliant manner will be discussed. Finally, an overview of copyright law will be provided in order to convey sensitivity to the use of works for training AI and awareness of the use of generative AI results.Target audienceThe webinar is aimed at individuals who are involved in ensuring compliance with legal requirements within organizations.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 & prerequisitesAdvanced – participants should have a solid basic understanding of how AI works and the legal system.Agenda10:00 Welcome & Presentation of AI Factory Austria AI:AT10:05 Trustworthy AI: Ethical Aspects10:50 Questions & DiscussionSpeakersMichael 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.Heidi Scheichenbauer (AI Factory Austria AI:AT) Dr. Heidi Scheichenbauer works as a Specialist in Legal/Regulatory/Ethics in Artificial Intelligence for AI Factory Austria. She studied law at the University of Vienna and Erasmus University Rotterdam, specialising in computer law. After completing her studies, she worked as a lawyer and research associate at the Austrian Institute for SME Research (KMU Forschung Austria). Following her time at KMU Forschung Austria, she worked as a lawyer at the Austrian Fundraising Association (Fundraising Verband Austria), where, among other things, she advised member organisations on implementing the General Data Protection Regulation (GDPR). Subsequently, she worked at the Research Institute, where she focused on data protection, digitalisation and the regulation of emerging technologies, contributing to research projects and advisory mandates. She is a member of the Austrian Association of Public and Corporate Data Protection Officers (Privacyofficers.at) and the author of numerous specialist publications, particularly on data protection law and the EU Artificial Intelligence Act (AI Act).LanguageEnglishDate, time, and location12.11.2026, 10:00 – 11:00 (CET), LIVE ONLINE WEBINAR (Zoom)RegistrationRegistration 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 [email protected] if you have any questions.Modification, withdrawal & no-show policyYour registration is binding. Please only register for the course if you are really going to attend.You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email ([email protected]).No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.OrganizersThis webinar is organized by AI Factory Austria AI:AT.AcknowledgementsAI 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).
https://events.asc.ac.at/event/363/
More from ASC / AI:AT / ACA / EuroCC
- Free
ASC Guided Tour – 2026-11-04
ASC / AI:AT / ACA / EuroCCAtrium 2 (OZEG76) (Arsenal TU Wien)- AI & Machine Learning
- Cloud & DevOps
- OnlineFree
Beyond Chatbots: History and Hype Cycles of AI
ASC / AI:AT / ACA / EuroCC- AI & Machine Learning
- Cloud & DevOps
- OnlineFree
Beyond Chatbots: Applications and Foundations of Machine Learning
ASC / AI:AT / ACA / EuroCC- AI & Machine Learning
- Cloud & DevOps
You might also like
- Attendance unconfirmedFree
Platform Engineering Vienna - November 2026 Meetup
Platform Engineering Vienna- Cloud & DevOps