A Survey of AI Reliance
Sven Eckhardt, Niklas K\"uhl, Mateusz Dolata, Gerhard Schwabe

TL;DR
This survey provides a comprehensive sociotechnical framework for understanding human reliance on AI systems, introducing a categorization tool and outlining future research directions.
Contribution
It offers a novel sociotechnical perspective and a morphological framework to guide AI reliance research, addressing current gaps in understanding human-AI interaction.
Findings
Introduces a sociotechnical categorization framework
Identifies core influences on AI reliance
Discusses future research directions
Abstract
Although artificial intelligence (AI) systems are becoming increasingly indispensable, research into how humans rely on these systems (AI reliance) is lagging behind. To advance this research, this survey presents a novel, comprehensive sociotechnical perspective on AI reliance, essential to fully understand the phenomenon. To address these challenges, the survey introduces a categorization framework resulting in a morphological box, which guides rigorous AI reliance research. Further, the survey identifies the core influences on AI reliance within the components of a sociotechnical system and discusses current limitations alongside emerging future research avenues to form a research agenda.
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Taxonomy
TopicsIoT and Edge/Fog Computing · Data Stream Mining Techniques
