Human Trust in Artificial Intelligence: Review of Empirical Research
Bar-Ilan University · Carnegie Mellon University
Abstract
Artificial intelligence (AI) characterizes a new generation of technologies capable of interacting with the environment and aiming to simulate human intelligence. The success of integrating AI into organizations critically depends on workers’ trust in AI technology. This review explains how AI differs from other technologies and presents the existing empirical research on the determinants of human “trust” in AI, conducted in multiple disciplines over the last 20 years. Based on the reviewed literature, we identify the form of AI representation (robot, virtual, and embedded) and its level of machine intelligence (i.e., its capabilities) as important antecedents to the development of trust and propose a…
Citation impact
- FWCI
- 168.90
- Percentile
- 100%
- References
- 158
Authors
2Topics & keywords
- Immediacy
- Field (mathematics)
- Transparency (behavior)
- Empirical research
- Knowledge management
- Cognition
- Emotional intelligence
- Computer science