Thomas Mansfield
Papers
1
Total Citations
2
H-Index
1
About
Thomas Mansfield is a researcher focused on the intersection of trust, autonomous systems, and modelling and simulation. His work addresses a critical challenge in modern technology: how to build and verify trust in increasingly autonomous decision-making systems. Mansfield’s most notable contribution, "Building Trust in Autonomous Systems: Opportunities for Modelling and Simulation" (2022), has garnered early recognition with 2 citations, establishing a foundation for integrating simulation-based validation into the design of trustworthy AI. By exploring how modelling can quantify and communicate system reliability, he provides a framework for engineers and policymakers to assess autonomous behavior before deployment. This work is particularly impactful in safety-critical domains like autonomous vehicles and healthcare robotics, where trust is a prerequisite for adoption. Mansfield’s research bridges theoretical trust models with practical simulation tools, offering a systematic approach to transparency and accountability in AI. As the field evolves, his contributions are poised to influence standards for verifiable autonomy, making him a key voice in the ongoing dialogue about responsible technology development.
Research Focus
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Top Papers
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