Industrielle Künstliche Intelligenz in Wissenschaft und Forschung
This report, commissioned by the Swiss State Secretariat for Education, Research and Innovation and authored by the Swiss Academy of Engineering Sciences (SATW), examines the role of artificial intelligence in science and research. Based on expert interviews, it outlines current applications, challenges such as explainability and data availability, ongoing Swiss and European activities, and recommendations for action across higher education and federal policy.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, academic leaders, and researchers looking to understand the landscape and strategic needs of AI in Swiss science.
What the document contains
The document covers the applications, challenges, ongoing initiatives, and policy recommendations regarding the use of artificial intelligence in Swiss science and research.
It lacks legally binding obligations, regulatory enforcement mechanisms, and specific technical safety mandates for commercial AI deployment outside of research.
- Artificial intelligence is transforming scientific research across disciplines by enabling pattern recognition, process modeling, and literature analysis.
- Key challenges include data availability, lack of model explainability, susceptibility to bias, and intellectual property questions.
- Switzerland possesses strong foundational research institutions and initiatives, but faces low venture capital and needs stronger coordination.
- Experts recommend fostering decentralized networks rather than building a single centralized national AI center.
- Clearer guidelines are needed regarding data ownership, open science, and text-and-data-mining licenses in academic publishing.
· Übersicht · Anwendungen von KI in Wissenschaft und Forschung · Herausforderungen · Bestehende Aktivitäten · Handlungsbedarf
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Fairness
2/5Non-discrimination and equitable treatment
Beim Einsatz von KI können Verzerrungen (Bias) auftreten, die nur schwer zu detektieren sind.
Herausforderungen
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
Herausforderungen
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Handlungsbedarf
screening score · 2026-10-23
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
Herausforderungen
screening score · 2026-10-23