Sampson Gholston
Papers
2
Total Citations
21
H-Index
2
About
Sampson Gholston is a researcher at the forefront of human-AI interaction, with a specific focus on building trust and transparency in autonomous systems. His work centers on the critical challenge of how humans can reliably collaborate with AI in high-stakes environments, particularly in defense and search and rescue operations. Gholston’s major contributions lie in demonstrating how transparent, AI-driven autonomous systems—such as drones and ground robots—can enhance human decision-making by making the AI’s reasoning processes more visible and understandable to human operators. His most-cited paper, “A Study of Drone-based AI for Enhanced Human-AI Trust and Informed Decision Making in Human-AI Interactive Virtual Environments” (2022), has garnered 16 citations and explores the use of drones in Search and Rescue Operations (SRO), where high risk and low visibility often hinder success. In a related case study, he further investigated how transparent AI can improve trust factors in autonomous systems used for navigation and surveillance. Gholston’s work is vital for advancing the safe and effective deployment of AI in critical, real-world scenarios, making him a key voice in the evolving field of human-AI teaming.
Research Focus
Key Achievements
Top Papers
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