Talks & Workshops
Learn from the people shaping the field. Talks and hands-on workshops across technical AI safety, governance, entrepreneurship and careers.
Swiss AI Safety Days
7–8 November 2026 • ETH Zurich
The next step in your AI safety career is here
The 2025 edition
The First Edition Set the Bar
Swiss AI Weeks 2025
Best Event
Recognized among more than 230 events across Switzerland
One day at ETH Zurich. More than 350 applications. New collaborations, new careers, and an event attendees rated among the best uses of their time. Here is what happened when Europe's AI safety community first met in Zurich.
210
Attendees
21
AI Safety Organizations
4.6/5
Average Rating
330+
Meaningful Connections Made
2026
What to Expect
This year, the event doubles to two full days. The full program lands later this year. Three things are already certain:
Organization Fair
Meet the organizations working on AI safety, face to face. The 2025 edition led directly to new roles and collaborations across the ecosystem. Yours could be next.
High-Density Networking
Skip the small talk. Structured 1-1s, speed networking, and roundtables built to get you the connections that matter.
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Swiss AI Safety Days is an official Road to Geneva event, part of the lead-up to the Geneva AI Summit 2027.
Confirmed for 2026
Who You'll Hear From
Updated every week
Keynote
Stuart Russell
Distinguished Professor of Computer Science, UC Berkeley · Director, Center for Human-Compatible AI
Co-author of Artificial Intelligence: A Modern Approach, the standard AI textbook used in over 1,500 universities across 135 countries, and a Fellow of the Royal Society. One of the field's leading voices on keeping advanced AI under human control, a case he makes in his book Human Compatible and his 2021 BBC Reith Lectures.
Speaker
Susan Nesbitt
Managing Director, Cantellus Group
Susan Nesbitt is Managing Director at Cantellus Group, where she advises governments, technology companies, and organizations on the strategy, governance, and responsible deployment of agentic AI systems, helping leaders move from experimentation to enterprise adoption. She serves on IASEAI's Policy Committee, is a member of OpenAI's External Red Teaming Network, advises AI Safety Connect, and contributes to international initiatives with UNESCO on AI governance and the ethical use of AI. Previously, Susan led Global Social Impact Products & Partnerships at WhatsApp and held leadership roles at the World Economic Forum.
Speaker
Nora Ammann
Programme Director, ARIA
Nora Ammann
Programme Director, ARIA
Co-founder, Principles of Intelligence
Runs Safeguarded AI, a roughly £60M ARIA programme building a mathematical assurance toolkit that lets fleets of AI agents produce formally verified artefacts at speed and scale, from software to microelectronics to cyber-physical control systems. Co-author of Gradual Disempowerment, and previously a Research Manager at Oxford's Future of Humanity Institute.
Speaker
Adrian Hutter
Lead, Gemini Safety Post-Training, Google DeepMind
Adrian Hutter
Lead, Gemini Safety Post-Training, Google DeepMind
Dr. Adrian Hutter leads the Gemini safety post-training team at Google DeepMind. His current research centers on instilling robust values in AI models across diverse environments. He has a background in theoretical quantum physics and has been interested in how to ensure the development of AGI is broadly beneficial for over a decade.
Speaker
Christian Schroeder de Witt
Principal Investigator, Oxford Witt Lab, University of Oxford
Christian Schroeder de Witt
Principal Investigator, Oxford Witt Lab, University of Oxford
Royal Academy of Engineering Research Fellow
Defined the field of multi-agent security, addressing worst-case guarantees in agentic systems. His earlier work with Sam Sokota solved a 25-year-old problem in information security, perfectly secure steganography, named a 2023 Biggest Discovery in Computer Science by Quanta Magazine. He also helped pioneer deep multi-agent reinforcement learning.
Speaker
Robert West
Associate Professor, EPFL
Robert West
Associate Professor, EPFL
Head of the Data Science and AI Lab (dlab)
Works at the intersection of AI, natural language processing and computational social science, with a focus on building AI that is safe for humanity. Previously a Visiting Researcher with the AI Frontiers group at Microsoft Research, and a recipient of the ICWSM Adamic-Glance Distinguished Young Researcher Award and an SNSF Starting Grant.
Org Fair
Who You'll Meet
Updated every week
Location
Why Zurich?
Neutral ground for a global challenge.
Switzerland's tradition of diplomacy makes it a natural intermediary among the world's leading AI powers. Zurich adds Europe's densest AI talent pool, ETH, and offices of 7 of the world's 10 leading AI companies, including Google, Meta, Microsoft, and Anthropic.
#1
World's Leading Talent Hub
#2
AI Engineer Density in Europe
7/10
Top Global AI Companies Here
#8
Best University in the World: ETH Zurich
Venue
The Venue: ETH Zurich
We return to the main building of ETH Zurich, one of the world's leading universities for science and technology. 21 Nobel laureates walked these halls, Albert Einstein among them. In November 2026, it's your turn.
Application Process
Places are limited, so attendance is by application. We review applications on a rolling basis and send decisions throughout, so applying early gives you the best chance of a place.
If you are accepted, we will invite you to pay for your ticket to secure your spot.
Ticket prices
The conference runs on a trust-based ticket price system where you choose how much you pay, but we include income-based guidelines.
- Free 0 CHF If paying for a ticket would cause you financial distress
- Reduced 40 CHF Students, or not currently employed
- Standard 100 CHF Net income under 50,000 CHF a year
- Support 180 CHF Net income between 50,000 and 100,000 CHF a year
- Extended support 320 CHF Net income above 100,000 CHF a year