BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:AI Bias Mitigation: A Developer's Guide DTSTART:20260519T070000Z DTEND:20260519T110000Z DTSTAMP:20260502T155800Z UID:indico-event-279@events.asc.ac.at CONTACT:training@ai-at.eu DESCRIPTION:Start date:  19 May 2026\, 09:00 (CEST)   Entry level:  Ba sicEnd date:  19 May 2026\, 13:00 (CEST)   Subject area:  Artificial I ntelligence (AI)Location:  ONLINE (Zoom)     Topics:  Bias in AI Lan guage:  English     Target audience:  Industry\, public admin\, acade miaPrice:  Free (for eligible participants)     Organizers:  AI:AT & ASCDetection and mitigation of bias in Artificial Intelligence (AI) projec ts isn’t just a technical nuisance. It’s a systemic design challenge\, and fixing it requires collaboration between engineers\, product owners\, and leadership.Building on our previous webinar Machine Learning and Huma n Prejudice: Understanding Bias in AI\, this hands-on workshop brings the conversation into the codebase. Participation in the webinar is not a prer equisite for this course. This session is designed for those who build\, train\, and deploy machine learning models\, and who want to move beyond a wareness into concrete action. Through guided notebook walkthroughs and a hands-on exercises\, participants will explore how bias enters AI systems at the data\, algorithm\, and interpretation level\, learn to measure fair ness using industry-standard metrics\, and apply mitigation techniques usi ng libraries like IBM's AI Fairness 360. The session also covers documenta tion practices and post-deployment monitoring\, so that fairness becomes a built-in habit rather than an afterthought.Agenda & ContentFor a detailed timetable and additional information\, please see Agenda & Content in the left menu.Target audience\, eligibility & pricesDevelopers\, ML engineers and Data scientists who build or work with machine learning models and wa nt practical tools to detect and mitigate bias in their own pipelines.This course is open and free of charge for all participants from academia\, in dustry\, and public administration from EU and/or EuroHPC JU member countr ies.Entry level & prerequisitesBasic – no prior knowledge of AI fairness or bias mitigation is needed\, we start from the fundamentals. Participa nts are expected to be familiar with Python and basic machine learning con cepts (training/test split\, model evaluation).Course formatThis course wi ll be delivered as a LIVE ONLINE COURSE (using Zoom).Hands-on labsAll part icipants will get a temporary user account on one of the ASC systems to do the hands-on labs.You will use your own laptop or workstation to connect conveniently from your browser to the ASC Jupyterhub and do the hands-on e xercises on a suitable CPU or GPU partition of the ASC.Accepted participan ts will be contacted a few days before the course and asked to do a short pre-assignment that has to be completed before the course starts.LecturerG iulia Bianchi (AIT Austrian Institute of Technology GmbH)       Giu lia Bianchi is a Research Engineer at AIT Austrian Institute of Technology \, where she leads the Machine Learning Group within the AI Task Force. Wi th a background spanning linguistics and AI\, she develops LLM-based syste ms including digital twins\, chatbots\, and knowledge extraction tools. He r work focuses on ensuring AI systems are not only technically robust but also fair and contextually appropriate across different user groups.Langua geEnglishDate\, time\, and location19.05.2026\, 09:00 – 13:00 (CEST)\, L IVE ONLINE COURSE (Zoom)RegistrationRegistration is required\, the registr ation form can be found on top of this page in the menu on the left.Please register with your official institutional email address to prove your aff iliation.You will get an automatic confirmation by email (subject starting with "[Indico] Registration")\, please check your Spam/Junk folders.Follo wing your successful registration\, you will receive further information a few days before the course.Please do not hesitate to contact us at traini ng@ai-at.eu if you have any questions.WaitinglistAfter the number of regis trations has reached its maximum or the registration form has been closed\ , you may want to send us an email (training@ai-at.eu) stating that you ar e interested to be put on the waiting list (vacancies may occur due to can celations\, etc.).To be able to do the hands-on labs on the ASC systems pl ease provide your full international mobile-phone number for the two-facto r authentication required to login to the ASC systems.Modification\, withd rawal & no-show policyYour registration is binding. Please only register f or the course if you are really going to attend.You can update your regist ration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can f ind at the bottom of your automatic email confirmation (subject starting w ith "[Indico] Registration").Alternatively\, or after the registration for m has been closed\, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@ai-at.eu).No-show policy: If you do not cancel and do not show u p at the course you will be blacklisted and excluded from future training events.Organizers                This course is jointly organi zed by AI Factory Austria AI:AT and Austrian Scientific Computing ASC (aka ASC Research Center\, TU Wien).AcknowledgementsAI Factory Austria AI:AT h as received funding from the European High-Performance Computing Joint Und ertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG). \n\nhttps://events.asc.ac.at/event/279/ LOCATION:Zoom (ONLINE) URL:https://events.asc.ac.at/event/279/ END:VEVENT END:VCALENDAR