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SUMMARY:Trustworthy AI: Legal Aspects
DTSTART:20261112T090000Z
DTEND:20261112T100000Z
DTSTAMP:20261102T150400Z
UID:indico-event-363@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Date: 12 November 2026\, 10:00 – 11:00 (CET)Price: Free (f
 or eligible participants)Format: AI:AT Webinar\, ONLINE (Zoom)Target audi
 ence: Industry\, public admin\, academiaLanguage: EnglishOrganizer: AI:
 ATArtificial intelligence (AI) must be human-centered and trustworthy. Thi
 s concept is based on three specific requirements: AI must be lawful\, eth
 ical\, and robust.This webinar builds on the previous event Fundamentals o
 f Trustworthy AI and provides in-depth insights into the legal requirement
 s that must be met when developing and using AI. In a one-hour online semi
 nar\, knowledge about requirements arising from the AI Act\, the General D
 ata Protection Regulation (GDPR)\, and copyright law is imparted.At the en
 d of the webinar\, participants will know which risk classes the AI Act re
 cognizes and what requirements arise from them. Furthermore\, a solid unde
 rstanding of data protection challenges will be conveyed and the tasks tha
 t organizations must perform in order to use AI in a data protection compl
 iant manner will be discussed. Finally\, an overview of copyright law will
  be provided in order to convey sensitivity to the use of works for traini
 ng AI and awareness of the use of generative AI results.Target audienceThe
  webinar is aimed at individuals who are involved in ensuring compliance w
 ith legal requirements within organizations.This webinar is open and free 
 of charge for all participants from academia\, industry\, and public admin
 istration from EU and/or EuroHPC JU member countries.Entry level & prerequ
 isitesAdvanced – participants should have a solid basic understanding of
  how AI works and the legal system.Agenda10:00   Welcome & Presentation o
 f 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 Regu
 lation. He has been working on issues at the intersection of technology an
 d law for more than 17 years. During this time\, he worked for renowned la
 w firms\, served as the Data Protection Officer (DPO) and Chief Informatio
 n Security Officer (CISO) of the AIT Austrian Institute of Technology – 
 Austria's largest non-university research institution – and conducted re
 search on digital fundamental rights. As an editorial board member of the 
 journal Datenschutz konkret (Dako)\, he continuously publishes on data pro
 tection issues and is involved in training data protection officers in col
 laboration with Business Circle.Heidi Scheichenbauer (AI Factory Austria
  AI:AT) Dr. Heidi Scheichenbauer works as a Specialist in Legal/Regula
 tory/Ethics in Artificial Intelligence for AI Factory Austria. She studied
  law at the University of Vienna and Erasmus University Rotterdam\, specia
 lising in computer law. After completing her studies\, she worked as a law
 yer and research associate at the Austrian Institute for SME Research (KMU
  Forschung Austria). Following her time at KMU Forschung Austria\, she wor
 ked as a lawyer at the Austrian Fundraising Association (Fundraising Verba
 nd Austria)\, where\, among other things\, she advised member organisation
 s on implementing the General Data Protection Regulation (GDPR). Subsequen
 tly\, she worked at the Research Institute\, where she focused on data pro
 tection\, digitalisation and the regulation of emerging technologies\, con
 tributing to research projects and advisory mandates. She is a member of t
 he Austrian Association of Public and Corporate Data Protection Officers (
 Privacyofficers.at) and the author of numerous specialist publications\, p
 articularly on data protection law and the EU Artificial Intelligence Act 
 (AI Act).LanguageEnglishDate\, time\, and location12.11.2026\, 10:00 – 1
 1:00 (CET)\, LIVE ONLINE WEBINAR (Zoom)RegistrationRegistration is require
 d\, 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] Registra
 tion")\, please check your Spam/Junk folders). We will also send 1–2 rem
 inders before the webinar.Please do not hesitate to contact us at training
 @ai-at.eu if you have any questions.Modification\, withdrawal & no-show po
 licyYour registration is binding. Please only register for the course if y
 ou are really going to attend.You can update your registration data or wit
 hdraw your registration anytime before the registration form has been clos
 ed via the link "Manage my registration" which you can find at the bottom 
 of your automatic email confirmation (subject starting with "[Indico] Regi
 stration").Alternatively\, or after the registration form has been closed\
 , please inform us about your cancelation or any change in your registrati
 on data (especially your mobile-phone number) via email (training@ai-at.eu
 ).No-show policy: If you do not cancel and do not show up at the course yo
 u will be blacklisted and excluded from future training events.OrganizersT
 his webinar is organized by AI Factory Austria AI:AT.AcknowledgementsAI Fa
 ctory Austria AI:AT has received funding from the European High-Performanc
 e Computing Joint Undertaking (JU) under grant agreement No 101253078. The
  JU receives support from the Horizon Europe Programm of the European Unio
 n and Austria (BMIMI / FFG). \n\nhttps://events.asc.ac.at/event/363/
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/363/
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