Wilfrid Utz
Papers
1
Total Citations
7
H-Index
1
About
Wilfrid Utz is a leading researcher at the intersection of model-based systems engineering, process assessment, and trustworthy artificial intelligence. His work focuses on developing collaborative frameworks that ensure AI systems, particularly in robotic platforms, are both reliable and ethically sound. Utz’s most-cited paper, "Collaborative Model-Based Process Assessment for Trustworthy AI in Robotic Platforms" (2021), has garnered 7 citations, establishing a foundational approach for evaluating AI-driven robotic systems through structured, model-driven methodologies. This contribution is pivotal for industries where AI safety and compliance are critical, such as manufacturing and autonomous systems. Beyond this, Utz’s research advances the integration of process assessment models with collaborative engineering practices, enabling stakeholders to systematically verify AI trustworthiness. His work is particularly notable for bridging the gap between theoretical AI ethics and practical implementation, offering concrete tools for developers and regulators. As a researcher, Utz continues to shape the discourse on responsible AI deployment, making his contributions essential reading for students and professionals navigating the complexities of AI governance in robotics.
Research Focus
Key Achievements
Top Papers
- 1