A Survey of AI Reliance
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.
Authors
- Sven Eckhardt (ORCID: https://orcid.org/0000-0002-4713-8408)
- Mateusz Dolata (ORCID: https://orcid.org/0000-0002-2732-4465)
- Gerhard Schwabe (ORCID: https://orcid.org/0000-0002-0453-9762)
- Niklas Kühl (ORCID: https://orcid.org/0000-0001-6750-0876)
Institutions
- Zeppelin Universität gemeinnützige GmbH (DE)
- University of Zurich (CH)
- University of Bayreuth (DE)
Publication Details
- Journal
- ACM Computing Surveys
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1145/3776528
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00