Werner Geyer
Papers
2
Total Citations
38
H-Index
2
About
Werner Geyer is a leading researcher at the intersection of human-computer interaction and artificial intelligence, with a primary focus on conversational interfaces and the safe deployment of large language models (LLMs). His most influential work, "Conversational Interfaces for Information Search" (2020), has garnered 34 citations, establishing foundational principles for how users interact with AI-driven search systems. This research has shaped the design of more intuitive, dialogue-based information retrieval tools, making complex data more accessible through natural conversation. More recently, Geyer has turned his attention to the critical challenge of AI safety, as evidenced by his 2026 paper "Benchmarking large language models on safety risks in scientific laboratories." Though newly published with 4 citations, this work addresses a pressing need: evaluating LLMs in high-stakes environments where errors could have serious consequences. By developing benchmarks for safety risks in lab settings, Geyer is pioneering methods to ensure that AI assistants can be trusted in scientific research. His contributions bridge the gap between user experience and responsible AI, making him a key voice in both the design and governance of next-generation language technologies.
Research Focus
Key Achievements
Top Papers
- 1Conversational Interfaces for Information Search34 citations · 2020
- 2