Network
Swiss Academy of Engineering Sciences
The Swiss Academy of Engineering Sciences SATW is the most important network of experts for engineering sciences in Switzerland and is in contact with the highest Swiss bodies for science, politics and industry. The network is comprised of elected individual members, member organisations and experts.
On behalf of the federation, SATW identifies industrially relevant technological developments and informs politics and society about their importance and consequences. As a unique expert organisation with high credibility, it conveys independent and objective information on technology – as the basis for establishing well-founded opinions. SATW also promotes the interests and understanding of technology in the population, including young people in particular. It is politically independent and non-commercial.
Data and AI is one of SATWs focus topics. The corresponding programme lauched in 2017 and comprises a variety of publications, events and further activities. All of them are aligned towards positioning Switzerland as a leading company in reponsible AI.
Pharmaceutical Revolution: Artificial Intelligence and Quantum Technologies Driving Innovation
27. May 2025
13:00 - 17:00
FHNW Muttenz
«Responsible AI» In der Praxis
19. June 2025
16:00 - 17:30
University of Zurich, Main Building, Rämistrasse 71, 8006 Zurich, Room KOL-H-317
Swiss AI Standards? - Sovereignty & Swiss Engagement in AI Standardisation
18. September 2025
16:00 - 18:30
Swisscom Office, Genfergasse 14, 3011 Bern
Apéro Digital: Empowering Swiss SMEs for Responsible AI Adoption
25. November 2025
16:00 - 17:30
Zurich, UZH DSI on Rämistrasse 69
11. F&E-Konferenz
29. January 2026
13:00 - 18:00
ETH Zürich - Campus Hönggerberg
Networking Event "Trust by design: standards for aligned AI governance"
5. October 2026
15:00 - 20:00
Mülisaal, Hegifeldstrasse 4, 8404 Winterthur
Swiss SMEs and artificial intelligence: utilising opportunities, mastering challenges
Many companies are faced with the question of how they can use AI sensibly and overcome challenges such as costs, data protection and a lack of expertise. Our new practical guide provides practical solutions.
Connected for Success: Why AI Can’t Work Without Collaboration
An SME has a promising idea for a new AI-supported product. However, it quickly becomes clear that without access to suitable data, expertise and resources, the idea is all that remains. What is missing is the right network. This is exactly what our latest article in the SME magazine is all about.
Responsible AI: from principle to practice
There are plenty of frameworks and guidelines for ethical AI - but how do you put them into practice? Four Swiss practical examples show how to make the step from theory to everyday life.
Last updated: 28.05.2026
