Workshop Trustworthy AI: Privacy and Data Protection – Ethical and Legal Perspectives

Date: 02 December 2026, 10:00 – 12:00 (CET)Price: Free (for eligible participants)Format: Workshop, in-personTarget audience: Industry, public admin, academiaLanguage: EnglishOrganizer: AI:ATPrivacy and data protection are key elements of Trustworthy AI. They raise practical questions that are highly relevant for actors developing, deploying or using AI systems: How can personal data be processed lawfully throughout the AI lifecycle? When do GDPR principles such as purpose limitation, data minimisation and transparency become challenging in AI contexts? How can responsibilities, accountability and technical–organisational measures be designed in practice? And what do recent legislative changes – notably under the Digital Omnibus on AI – mean for organisations that process personal data to develop, train or operate AI systems?In this interactive 2-hour session, we will explore privacy and data protection in the context of Trustworthy AI. Participants will work with their own AI or pre-selected use cases and reflect on approaches to compliant data processing, risk assessment and privacy-by-design – including how to assess and apply the new Omnibus easements in practice. Key topics include:Privacy and data protection as core elements of Trustworthy AIGDPR requirements for AI development, training, deployment and useLawful bases, purpose limitation, data minimisation and transparency in AI contextsBias detection and correction: processing of special categories of personal data where strictly necessary to detect and correct bias, under the conditions set out in the Digital Omnibus on AI / AI Act amendmentsData Protection Impact Assessments (DPIAs) and risk-oriented approaches for AI systemsPrivacy by design and by default: organisational and technical measures in practicePeer exchange on practical implementation challengesRisks of inadequate data protection in AI projects 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 audienceThis workshop is designed for practitioners using and working on AI solutions, including developers, data scientists, compliance officers, data protection officers, and project stakeholders – including users from the broader public – who are interested in reflecting on privacy and data protection in 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 & prerequisitesNo specific prerequisites are required. A basic understanding of AI concepts and familiarity with data protection principles is beneficial.Agenda & ContentWelcome, introduction round and workshop goalsShort input: Privacy and data protection as key elements of Trustworthy AIInput: Digital Omnibus easements – legitimate interest for AI, residual special-category data, and bias detectionInteractive activity: Privacy and data protection in action (use-case work)Input: From principles to practice – DPIAs, privacy by design, and accountabilityPeer discussion: implementation challenges and mitigation strategiesFeedback and closingCourse formatThis workshop will be delivered as an in-person interactive session.SpeakersPeter 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.  Michael Löffler (AI Factory Austria AI:AT Legal & Ethics team)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.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.LanguageEnglishDate, time, and location22.10.2026, 10:00 – 12:00 (CET), Discoverer (TBA)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.Please do not hesitate to contact us at [email protected] if you have any questions.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/391/