Trustworthy AI Circle (TAIC)

In a time when artificial intelligence is rapidly moving from experimentation into everyday practice, the gap between high-level principles and real-world implementation is becoming increasingly visible. While frameworks for trustworthy AI are evolving, their translation into concrete decisions, workflows, and products remains an open challenge.

Against this backdrop, the Trustworthy AI Circle creates a space for practitioners, researchers, and industry experts to collectively explore what responsible AI means in practice. The Trustworthy AI Circle is a recurring, in-person event series designed to foster exchange across disciplines and roles involved in the development and governance of AI systems. Each session focuses on a concrete use case — from LLM privacy to AI translation or agentic systems.

Through expert inputs and moderated discussions, participants gain insights into real-world challenges of responsible AI from business, operations, technical development, and policy perspectives.

The heart of each TAI Circle is an interactive co-creation session, where participants bring their diverse viewpoints and backgrounds and blend them with the practitioner's perspectives to shape practical approaches together.

The result of this collaborative approach is a shared understanding and actionable practices for building trustworthy AI.