BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Hands-on Explainable AI (XAI): From Data Understanding to Model In terpretation DTSTART:20260424T110000Z DTEND:20260424T143000Z DTSTAMP:20260430T003600Z UID:indico-event-277@events.asc.ac.at CONTACT:training@ai-at.eu DESCRIPTION:Start date:  24 April 2026\, 13:00 (CEST)   Entry level:   BasicEnd date:  24 April 2026\, 16:30 (CEST)   Subject area:  Artifici al Intelligence (AI)Location:  ONLINE (Zoom)     Topics:  Explainable AI (XAI)Language:  English     Target audience:  Industry\, public a dmin\, academiaPrice:  Free (for eligible participants)     Organizers :  AI:AT & ASCAs Artificial Intelligence (AI) becomes increasingly woven into our daily lives\, the need to understand how and why these systems ma ke decisions has never been more important.This hands-on training builds o n a previous webinar on high-level Introduction to Explainable AI (XAI) an d shifts the focus from concepts to practical application. Participants wi ll work directly with data and models to explore how explainability can su pport data understanding\, model development\, and result interpretation i n realistic workflows. The session starts with an end-to-end\, guided exe rcise on tabular data\, covering exploratory data analysis and pre-model e xplainability to understand data characteristics and support model justifi cation. Participants will then train a lightweight model and apply post-ho c XAI techniques to interpret predictions at both local and global levels. Building on this foundation\, the training introduces explainability for t extual data through a lightweight text classification task\, illustrating how explanation methods differ for unstructured data such as language and where typical limitations arise. The session concludes with a short showca se of explainability for an additional data modality (image or time-series data)\, highlighting cross-modal similarities\, pitfalls\, and best pract ices.The training emphasizes hands-on experimentation\, critical interpret ation of explanations\, and understanding when XAI supports trustworthy de cision-making and when caution is required. It is intended as a practical continuation of the earlier conceptual training.Agenda & ContentFor a deta iled timetable and additional information\, please see Agenda & Content in the left menu.Target audience\, eligibility & pricesEveryone is welcome w ho wants to get a deeper understanding of how and why AI systems make deci sions.This course is open and free of charge for all participants from aca demia\, industry\, and public administration from EU and/or EuroHPC JU mem ber countries.Entry level & prerequisitesBasic – no prior XAI knowledge is required.Participants are expected to be familiar with basic machine le arning concepts and python programming\, prior hands-on XAI experience is not required.Course formatThis course will be delivered as a LIVE ONLINE C OURSE (using Zoom).Hands-on labsAll participants will get a temporary user account on one of the ASC systems to do the hands-on labs.You will use yo ur own laptop or workstation to connect conveniently from your browser to the ASC Jupyterhub and do the hands-on exercises on a suitable CPU or GPU partition of the ASC.Accepted participants will be contacted a few days be fore the course and asked to do a short pre-assignment that has to be comp leted before the course starts.LecturerAnahid Wachsenegger (AIT Austrian I nstitute of Technology GmbH)                      An ahid Wachsenegger is a data scientist at the AIT Austrian Institute of Tec hnology\, specializing in artificial intelligence\, explainable machine le arning\, data-driven modeling\, and time-series analysis across domains su ch as forestry and mobility data science. She holds a Master’s degree in Computational Intelligence from TU Wien and also served as an associate l ecturer in Media and Digital Technologies at the University of Applied Sci ences St. Pölten. She is passionate about developing trustworthy\, transp arent AI systems\, applying data science to real-world challenges\, and su pporting students and practitioners in understanding and responsibly using modern AI technologies.LanguageEnglishDate\, time\, and location24.04.202 6\, 13:00 – 16:30 (CEST)\, LIVE ONLINE COURSE (Zoom)RegistrationRegistra tion is required\, the registration form can be found on top of this page in the menu on the left.Please register with your official institutional e mail address to prove your affiliation.You will get an automatic confirmat ion by email (subject starting with "[Indico] Registration")\, please chec k your Spam/Junk folders.Following your successful registration\, you will receive further information a few days before the course.Please do not he sitate to contact us at training@ai-at.eu if you have any questions.Waitin glistAfter the number of registrations has reached its maximum or the regi stration form has been closed\, you may want to send us an email (training @ai-at.eu) stating that you are interested to be put on the waiting list ( vacancies may occur due to cancelations\, etc.).To be able to do the hands -on labs on the ASC systems please provide your full international mobile- phone number for the two-factor authentication required to login to the AS C systems.Modification\, withdrawal & no-show policyYour registration is b inding. Please only register for the course if you are really going to att end.You can update your registration data or withdraw your registration an ytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email co nfirmation (subject starting with "[Indico] Registration").Alternatively\, or after the registration form has been closed\, please inform us about y our cancelation or any change in your registration data (especially your m obile-phone number) via email (training@ai-at.eu).No-show policy: If you d o not cancel and do not show up at the course you will be blacklisted and excluded from future training events.Organizers                This course is jointly organized by AI Factory Austria AI:AT and Austrian Scientific Computing ASC (aka ASC Research Center\, TU Wien).Acknowledgem entsAI Factory Austria AI:AT has received funding from the European High-P erformance Computing Joint Undertaking (JU) under grant agreement No 10125 3078. The JU receives support from the Horizon Europe Programm of the Euro pean Union and Austria (BMIMI / FFG). \n\nhttps://events.asc.ac.at/event/ 277/ LOCATION:Zoom (ONLINE) URL:https://events.asc.ac.at/event/277/ END:VEVENT END:VCALENDAR