Susanne Vernim

Technical University of Munich

Papers

1

Total Citations

33

H-Index

1

About

Susanne Vernim is a leading researcher at the intersection of human-centered design and artificial intelligence in manufacturing, with a primary focus on value sensitive design (VSD) and socio-technical systems. Her most-cited work, “A value sensitive design approach for designing AI-based worker assistance systems in manufacturing” (2022, 33 citations), pioneers a framework for embedding ethical and human values—such as autonomy, transparency, and trust—into the development of AI-driven tools for industrial workplaces. This contribution is critical as AI converges with cloud computing, robotics, and augmented reality, where unchecked automation risks marginalizing workers. Vernim’s research demonstrates how to balance technological efficiency with worker well-being, offering practical guidelines for inclusive system design. Her work has been recognized for bridging the gap between abstract ethics and real-world engineering, influencing both academic discourse and industry practices in smart manufacturing. By centering stakeholder values, Vernim provides a roadmap for responsible innovation, ensuring that AI assistance systems enhance rather than replace human expertise. Her scholarship is essential reading for anyone designing human-AI collaboration in high-stakes environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
33
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
A value sensitive design approach for designing AI-based worker assistance systems in manufacturing
33 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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