BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Workshop Trustworthy AI: Privacy and Data Protection – Ethical a nd Legal Perspectives DTSTART:20261022T080000Z DTEND:20261022T093000Z DTSTAMP:20261014T051500Z UID:indico-event-364@events.asc.ac.at CONTACT:training@ai-at.eu DESCRIPTION:Date: 22 October 2026\, 10:00 – 12:00 (CET)Price: Free (fo r eligible participants)Format: Workshop\, in-personTarget audience: Ind ustry\, public admin\, academiaLanguage: EnglishOrganizer: AI:ATPrivacy and data protection are key elements of Trustworthy AI. They raise practic al 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\, dat a 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 – notab ly under the Digital Omnibus on AI – mean for organisations that process personal data to develop\, train or operate AI systems?In this interactiv e 2-hour session\, we will explore privacy and data protection in the cont ext of Trustworthy AI. Participants will work with their own AI or pre-sel ected use cases and reflect on approaches to compliant data processing\, r isk assessment and privacy-by-design – including how to assess and apply the new Omnibus easements in practice. Key topics include:Privacy and da ta protection as core elements of Trustworthy AIGDPR requirements for AI d evelopment\, training\, deployment and useLawful bases\, purpose limitatio n\, data minimisation and transparency in AI contextsBias detection and co rrection: processing of special categories of personal data where strictly necessary to detect and correct bias\, under the conditions set out in th e Digital Omnibus on AI / AI Act amendmentsData Protection Impact Assessme nts (DPIAs) and risk-oriented approaches for AI systemsPrivacy by design a nd by default: organisational and technical measures in practicePeer excha nge on practical implementation challengesRisks of inadequate data protect ion 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 ser ve as the basis for the interactive exercise and peer discussion during th e workshop. There will be pre-selected use cases available for those parti cipants not bringing a case with them. Target audienceThis workshop is de signed for practitioners using and working on AI solutions\, including dev elopers\, 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 c ountries. Entry level & prerequisitesNo specific prerequisites are requir ed. A basic understanding of AI concepts and familiarity with data protect ion principles is beneficial. Agenda & ContentWelcome\, introduction roun d and workshop goalsShort input: Privacy and data protection as key elemen ts of Trustworthy AIInput: Digital Omnibus easements – legitimate intere st for AI\, residual special-category data\, and bias detectionInteractive activity: Privacy and data protection in action (use-case work)Input: Fro m principles to practice – DPIAs\, privacy by design\, and accountabilit yPeer discussion: implementation challenges and mitigation strategiesFeedb ack and closingCourse formatThis workshop will be delivered as an in-perso n interactive session. SpeakersPeter Biegelbauer (AI Factory Austria AI:A T Legal & Ethics team)PD Mag. Dr. Peter Biegelbauer\, S.M.\, is responsibl e 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 o f Technology in Vienna. Peter Biegelbauer heads the AIT AI Ethics Lab\, wh ich deals with the ethical aspects of artificial intelligence and responsi ble innovation and has published the “Guide to Digital Administration: A I\, Ethics\, and Law” on behalf of the Federal Chancellery. He is also d eputy 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\, knowled ge and experience in decision-making\, impact assessment\, and opportuniti es for learning from experience.  Michael Löffler (AI Factory Austria A I:AT Legal & Ethics team)DI Michael Löffler is a computer scientist curre ntly studying law. At AI Factory Austria AI:AT\, he coordinates Law\, Ethi cs\, 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 fo r renowned law firms\, served as the Data Protection Officer (DPO) and Chi ef Information Security Officer (CISO) of the AIT Austrian Institute of Te chnology – Austria’s largest non-university research institution – a nd conducted research on digital fundamental rights. As an editorial board member of the journal Datenschutz konkret (Dako)\, he continuously publis hes on data protection issues and is involved in training data protection officers in collaboration with Business Circle. Pia Weinlinger (AI Facto ry Austria AI:AT Legal & Ethics team)Pia Weinlinger\, MA\, is Expert Advis or at the AIT Austrian Institute of Technology and holds a Master’s degr ee in Science\, Technology and Society Studies (STS)\, specialising in gov ernance\, innovation and sustainability. Pia Weinlinger is a member of the AIT AI Ethics Lab\, which addresses the ethical aspects of artificial int elligence and responsible innovation. She specialises in responsible innov ation and is co-author of the “Guide to Digital Administration: AI\, Eth ics 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. LanguageEnglish Dat e\, time\, and location22.10.2026\, 10:00 – 12:00 (CET)\, Discoverer (TB A) RegistrationRegistration is required\, the link to the registration fo rm can be found on the top of this page in the menu on the left. Please re gister with your official institutional email address to prove your affili ation.You will get the Zoom link in the automatic confirmation by email (s ubject starting with "[Indico] Registration")\, please check your Spam/Jun k 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 .Modification\, withdrawal & no-show policyYour registration is binding. P lease only register for the course if you are really going to attend.You c an update your registration data or withdraw your registration anytime bef ore the registration form has been closed via the link "Manage my registra tion" which you can find at the bottom of your automatic email confirmatio n (subject starting with "[Indico] Registration").Alternatively\, or after the registration form has been closed\, please inform us about your cance lation or any change in your registration data (especially your mobile-pho ne number) via email (training@ai-at.eu).No-show policy: If you do not can cel and do not show up at the course you will be blacklisted and excluded from future training events.OrganizersThis webinar is organized by AI Fact ory Austria AI:AT.AcknowledgementsAI Factory Austria AI:AT has received fu nding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horiz on Europe Programm of the European Union and Austria (BMIMI / FFG). \n\nh ttps://events.asc.ac.at/event/364/ URL:https://events.asc.ac.at/event/364/ END:VEVENT END:VCALENDAR