| Date: | 12 January 2026, 10:00 – 11:00 (CET) | Price: | Free (for eligible participants) | |
| Format: | AI:AT Webinar, ONLINE (Zoom) | Target audience: | Academia, industry, public admin | |
| Language: | English | Organizer: | AI:AT & ASC |
As Artificial Intelligence (AI) becomes increasingly woven into our daily lives, the need to understand how and why these systems make decisions has never been more important.
This webinar offers an accessible introduction to the field of XAI: what it is, why it matters, and where its biggest challenges lie. We will begin with the motivations driving the demand for transparency in AI, why AI models are often called black-boxes, from fairness and accountability to safety and trust. Participants will then be guided through the core ideas behind XAI, exploring how explainability techniques help us open the “black box” of modern machine learning. Finally, we will discuss real-world limitations and open questions that researchers and practitioners continue to face.
This session is designed for a broad audience, no deep technical background required. A dedicated hands-on XAI workshop will follow for data scientists and ML enthusiasts interested in experimenting with tools, techniques, and practical workflows.
Target audience
Everyone is welcome who wants to get an understanding of how and why AI systems make decisions.
This webinar is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.
Entry level & prerequisites
Beginner – no prior AI knowledge is required.
Agenda
10:00 Welcome & Presentation of AI-Factory Austria AI:AT
10:05 Introduction to Explainable AI (XAI): Motivation, Concepts & Challenges
10:50 Questions & Discussion
Speaker
Anahid Wachsenegger (AI Factory Austria AI:AT)
Anahid Wachsenegger is a data scientist at the AIT Austrian Institute of Technology, specializing in artificial intelligence, explainable machine learning, data-driven modeling, and time-series analysis across domains such as forestry and mobility data science. She holds a Master’s degree in Computational Intelligence from TU Wien and also served as an associate lecturer in Media and Digital Technologies at the University of Applied 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 responsibly using modern AI technologies.
Language
English
Date, time, and location
12.01.2026, 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 get the Zoom link in the automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders). We will 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.
Organizers
This webinar is jointly organized by AI Factory Austria AI:AT and Austrian Scientific Computing (ASC) (aka ASC Research Center, TU Wien).
Acknowledgements
AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).
