ETH Zürich is a world-class public research university in Zurich, Switzerland, founded in 1855. Its AI safety-relevant work is concentrated in several research groups: the SPY Lab led by Prof. Florian Tramèr studies adversarial machine learning, security, and privacy of AI systems; the SRI Lab led by Prof. Martin Vechev focuses on certified robustness, fairness, and reliability of neural networks through the SafeAI project; and the broader ETH AI Center coordinates AI research across the university's 16 departments. ETH Zürich has become a significant hub for AI safety research in Europe, with strong ties to industry and policy.
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Theory of Change
ETH Zürich contributes to AI safety primarily through technical research: by studying adversarial attacks, robustness certification, and the security/privacy of ML systems, its researchers produce knowledge and tools that help developers build AI systems that are more reliable, resistant to manipulation, and auditable. The SPY Lab's adversarial approach — designing attacks to probe worst-case system behavior — generates findings that directly inform defenses and highlight risks before they are exploited. The SRI Lab's formal verification methods aim to provide mathematical guarantees about neural network behavior, a key ingredient for deploying AI safely in high-stakes settings. More broadly, ETH's role as a top-tier research institution means its publications, trained graduates, and open-source tools propagate into the wider AI development ecosystem, raising the baseline for safety practices globally.
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- Last Updated
- Apr 2, 2026, 9:58 PM UTC
- Created
- Mar 20, 2026, 2:34 AM UTC