Public trust of AI in healthcare in South Africa: results of a survey
This study underscores the need for innovative governance models tailored to resource-constrained settings, where traditional human-in-the-loop requirements may not always be feasible. Future research should explore how socio-cultural factors and trust dynamics influence public attitudes toward AI in healthcare and investigate models that ensure safety and accountability while addressing practical limitations in healthcare delivery systems.
Authors
- Dane Bottomley (ORCID: https://orcid.org/0000-0002-5789-5058)
- Donrich Willem Thaldar (ORCID: https://orcid.org/0000-0002-7346-3490)
Institutions
- University of KwaZulu-Natal (ZA)
Publication Details
- Journal
- BMC Medical Ethics
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1186/s12910-025-01272-8
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96
Funders
- Meta