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SUMMARY:Explainable AI 1: Motivation\, Concepts & Challenges
DTSTART:20261117T090000Z
DTEND:20261117T100000Z
DTSTAMP:20261102T150300Z
UID:indico-event-348@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Date: 17 Nov. 2026\, 11:00 – 12:00 (CET)Price: Free (for e
 ligible participants)Format: AI:AT Webinar\, ONLINE (Zoom)Target audience
 : Industry\, public admin\, academiaLanguage: EnglishOrganizer: AI:ATAs
  Artificial Intelligence (AI) becomes increasingly woven into our daily li
 ves\, the need to understand how and why these systems make decisions has 
 never been more important.This webinar offers an accessible introduction t
 o the field of XAI: what it is\, why it matters\, and where its biggest ch
 allenges lie. We will begin with the motivations driving the demand for tr
 ansparency in AI\, why AI models are often called black-boxes\, from fairn
 ess and accountability to safety and trust. Participants will then be guid
 ed through the core ideas behind XAI\, exploring how explainability techni
 ques help us open the “black box” of modern machine learning. Finally\
 , we will discuss real-world limitations and open questions that researche
 rs and practitioners continue to face.This session is designed for a broad
  audience\, no deep technical background required. A dedicated hands-on XA
 I workshop will follow for data scientists and ML enthusiasts interested i
 n experimenting with tools\, techniques\, and practical workflows.Target a
 udienceEveryone is welcome who wants to get an understanding of how and wh
 y AI systems make decisions.This webinar is open and free of charge for al
 l participants from academia\, industry\, and public administration from E
 U and/or EuroHPC JU member countries.Entry level & prerequisitesBeginner 
 – no prior AI knowledge is required.Agenda11:00   Welcome & Presentatio
 n of AI Factory Austria AI:AT11:05   Introduction to Explainable AI (XAI)
 : Motivation\, Concepts & Challenges11:50   Questions & DiscussionSpeaker
 Anahid Wachsenegger (AIT Austrian Institute of Technology GmbH)     
    Anahid Wachsenegger is a data scientist at the AIT Austrian Institut
 e of Technology\, specializing in artificial intelligence\, explainable ma
 chine learning\, data-driven modeling\, and time-series analysis across do
 mains such as forestry and mobility data science. She holds a Master’s d
 egree in Computational Intelligence from TU Wien and also served as an ass
 ociate lecturer in Media and Digital Technologies at the University of App
 lied Sciences St. Pölten. She is passionate about developing trustworthy\
 , transparent AI systems\, applying data science to real-world challenges\
 , and supporting students and practitioners in understanding and responsib
 ly using modern AI technologies.LanguageEnglishDate\, time\, and location1
 7.11.2026\, 10:00 – 11:00 (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 g
 et the Zoom link in the automatic confirmation by email (subject starting 
 with "[Indico] Registration")\, please check your Spam/Junk folders). We w
 ill 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. Please only regis
 ter for the course if you are really going to attend.You can update your r
 egistration data or withdraw your registration anytime before the registra
 tion form has been closed via the link "Manage my registration" which you 
 can find at the bottom of your automatic email confirmation (subject start
 ing with "[Indico] Registration").Alternatively\, or after the registratio
 n form has been closed\, please inform us about your cancelation or any ch
 ange in your registration data (especially your mobile-phone number) via e
 mail (training@ai-at.eu).No-show policy: If you do not cancel and do not s
 how up at the course you will be blacklisted and excluded from future trai
 ning events.OrganizersThis webinar is organized by AI Factory Austria AI:A
 T.AcknowledgementsAI Factory Austria AI:AT has received funding from the E
 uropean High-Performance Computing Joint Undertaking (JU) under grant agre
 ement No 101253078. The JU receives support from the Horizon Europe Progra
 mm of the European Union and Austria (BMIMI / FFG).\n\nhttps://events.asc.
 ac.at/event/348/
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/348/
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