Trust in Human-AI Symbiosis
Faculty Mentor Name
Hadi Ali
Format Preference
Poster
Abstract
As Artificial Intelligence increasingly supports critical decision-making in different real-world contexts, understanding trust between humans and Al becomes crucial. The goal of this study is to explore how various levels of Al transparency, control, and error influence human trust in Al-based decision support in safety-critical systems. By evaluating participant responses to Al recommendations across different operational modes, this research aims to identify optimal conditions that foster trust and enhance collaboration between humans and Al in high-risk environments. The findings will inform the development of more effective and reliable Al systems.
Trust in Human-AI Symbiosis
As Artificial Intelligence increasingly supports critical decision-making in different real-world contexts, understanding trust between humans and Al becomes crucial. The goal of this study is to explore how various levels of Al transparency, control, and error influence human trust in Al-based decision support in safety-critical systems. By evaluating participant responses to Al recommendations across different operational modes, this research aims to identify optimal conditions that foster trust and enhance collaboration between humans and Al in high-risk environments. The findings will inform the development of more effective and reliable Al systems.