​TUM Social AI Club presents:

​Building Reliable AI: Transparency, Guardrails & Trustworthy Systems 🤖

​AI is becoming more autonomous, more capable, and more deeply embedded into real world products and organizations. But how do we build systems that stay transparent, secure, reliable, and aligned with human values?

​Join us for an evening hosted by TUM Social AI Club, Germany’s first AI for Good student initiative.

​The event will feature talks by:

​🎙️ Felix Steinbauer, TUM
“Generalization by Design: Multi Concept Integration for Efficient and Transparent AI”

​🎙️ Tobias Leemann, AWS
“Building Enterprise Grade Agentic AI Platforms with Responsible AI Guardrails”

​(Preliminary agenda: Additional speakers or updates may still be announced.)

​Together, we’ll explore topics such as AI transparency, generalization, secure AI deployment, agentic systems, guardrails, and trustworthy AI architectures.

​Expect insightful talks, open Q&A, and relaxed networking with students, researchers, builders, founders, and professionals interested in AI and social impact.

​📅 May 21st, 2026
🕠 5:30 PM – 8:00 PM
📍 Workcafé at House of Communication, Munich

​Spots are limited.