BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:AI Bias Mitigation: A Manager's Guide DTSTART:20260415T070000Z DTEND:20260415T100000Z DTSTAMP:20260430T003400Z UID:indico-event-278@events.asc.ac.at CONTACT:training@ai-at.eu DESCRIPTION:Start date:  15 April 2026\, 09:00 (CEST)   Entry level:   BasicEnd date:  15 April 2026\, 12:00 (CEST)   Subject area:  Artifici al Intelligence (AI)Location:  ONLINE (Zoom)     Topics:  Bias in AI  Language:  English     Target audience:  Managers and team leadsPri ce:  Free (for eligible participants)     Organizers:  AI:ATWhile bia s detection and mitigation is often seen as a technical problem\, it is fu ndamentally a team effort\, and managers play a critical role at every sta ge of an Artificial Intelligence (AI) project. Building on our previous w ebinar Machine Learning and Human Prejudice: Understanding Bias in AI\, th is workshop takes the conversation further and closer to where decisions a re actually made. Participation in the webinar is not a prerequisite for t his course.This session is designed for those who lead teams\, allocate re sources\, and are responsible for the impact of AI systems on people and o rganizations. Through real-world case studies\, hands-on exercises\, and a structured bias risk assessment\, participants will learn to identify whe re bias enters the AI development lifecycle\, assess the risks of their ow n use cases\, and implement efficient governance practices\, leaving with a concrete action plan they can bring back to their teams.Agenda & Content For a detailed timetable and additional information\, please see Agenda & Content in the left menu.Target audience\, eligibility & pricesManagers an d team leads who oversee\, commission\, or approve AI systems. No technica l background is required.This course is open and free of charge for all pa rticipants from academia\, industry\, and public administration from EU an d/or EuroHPC JU member countries.Entry level & prerequisitesBasic – basi c familiarity with what AI systems are and how they are used in your organ ization is helpful\, but no prior knowledge of AI bias or machine learning is needed.Course formatThis course will be delivered as a LIVE ONLINE COU RSE (using Zoom).LecturersGiulia Bianchi (AIT Austrian Institute of Techno logy GmbH)     Giulia Bianchi is a Research Engineer at AIT Austrian Institute of Technology\, where she leads the Machine Learning Group withi n the AI Task Force. With a background spanning linguistics and AI\, she d evelops LLM-based systems including digital twins\, chatbots\, and knowled ge extraction tools. Her work focuses on ensuring AI systems are not only technically robust but also fair and contextually appropriate across diffe rent user groups.Daniel Lehner (AI Factory Austria AI:AT)                        Dr. Daniel Lehner works as expert in AI know ledge transfer at AI Factory Austria AI:AT. He also works as a consultant and trainer at TwinTech\, helping companies to efficiently exploit the pot ential of digitalization through the use of artificial intelligence and di gital twins. In addition to his work with various companies\, he also draw s on his many years of experience in researching digital twins and artific ial intelligence at Johannes Kepler University in Linz.LanguageEnglishDate \, time\, and location15.04.2026\, 09:00 – 12:00 (CEST)\, LIVE ONLINE CO URSE (Zoom)RegistrationRegistration is required\, the registration form ca n be found on top of this page in the menu on the left.Please register wit h your official institutional email address to prove your affiliation.You will get an automatic confirmation by email (subject starting with "[Indic o] Registration")\, please check your Spam/Junk folders.Following your suc cessful registration\, you will receive further information a few days bef ore the course.Please do not hesitate to contact us at training@ai-at.eu i f you have any questions.WaitinglistAfter the number of registrations has reached its maximum or the registration form has been closed\, you may wan t 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\, e tc.).Modification\, withdrawal & no-show policyYour registration is bindin g. Please only register for the course if you are really going to attend.Y ou can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my regi stration" which you can find at the bottom of your automatic email confirm ation (subject starting with "[Indico] Registration").Alternatively\, or a fter the registration form has been closed\, please inform us about your c ancelation 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 up at the course you will be blacklisted and exclu ded from future training events.OrganizersThis course is organized by AI F actory Austria AI:AT.AcknowledgementsAI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (J U) under grant agreement No 101253078. The JU receives support from the Ho rizon Europe Programm of the European Union and Austria (BMIMI / FFG). \n \nhttps://events.asc.ac.at/event/278/ LOCATION:Zoom (ONLINE) URL:https://events.asc.ac.at/event/278/ END:VEVENT END:VCALENDAR