Name: Trustworthy AI Circle - Everyday Practices for Responsible AI
Start: 2025-10-16T18:00:00+02:00
End: 2025-10-16T20:00:00+02:00
Location: Zürich

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What do we mean when we say something is **responsible, fair, just** \- especially in AI contexts? Are these absolutes\, or shifting ideals? Together with Max Riechen we will explore these terms through lenses from **modern philosophy of law.** The goal is not to fix a single definition, but to **better understand the questions** we should be asking when designing and deploying AI systems.

Max Riechen will then share how Liip has turned these reflections into practice. We’ll look at **ZüriCityGPT**, from rapid prototype to a more mature open-source-LLM version, at **Alva**, the AI assistant integrated into Basel-Stadt’s digital services, as well as the work done for the chatbots for the University Hospital of Geneva. These projects show how responsible AI can be pursued **without heavyweight frameworks** -through pragmatic steps, openness, and iteration.

In the co-creative part of the session, participants will reflect on barriers that hold organisations back from adopting responsible AI, then gather practical ideas for how such practices can be integrated across different time horizons. By the end, attendees will see more clearly how philosophy and practice connect, what barriers exist today, and which actions can help embed responsible AI in everyday work.

**Max Reichen – Lawyer and Digital Expert at Liip**
Max Reichen combines legal expertise with digital innovation as a trained lawyer and Product Owner of LiipGPT at Liip. In this position, he is responsible for driving the development of AI solutions at the company. His clients include Geneva University Hospital, the Cantons of Zurich and Basel-Landschaft, as well as the Federal Office of Public Health.
**Liip – Digital Avant-Garde**
Since 2007, Liip has been driving digital transformation for its clients: from web platforms to innovative AI applications. The company brings together strategic consulting, user experience, and custom development through an integrated approach. Liip demonstrates how responsible AI use

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