Artificial-intelligence-driven governance: addressing emerging risks with a comprehensive risk-prevention-centred model for public health crisis management
The Risk Prevention-centred and AI-enabled Anti-pandemic Technology Acceptance Model (RPAA-TAM) offers a comprehensive framework for understanding public acceptance of AI in pandemic prevention. Identifying seven key factors impacting acceptance, our study provides novel propositions on the basis of literature review. RPAA-TAM contributes to innovative governance strategies, guiding the ethical and socially acceptable integration of AI in managing public health crises.
Authors
- Chun‐Hsien Chen (ORCID: https://orcid.org/0000-0003-2193-5270)
- Shupeng Lyu (ORCID: https://orcid.org/0000-0001-7165-6638)
- Dianni Wang (ORCID: https://orcid.org/0000-0002-9080-252X)
- Ching‐Hung Lee (ORCID: https://orcid.org/0000-0002-4093-556X)
- Zhichao Wang (ORCID: https://orcid.org/0000-0002-4397-8469)
Institutions
- Nanyang Technological University (SG)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Health Research Policy and Systems
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s12961-025-01390-0
- Citations
- 1
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 4.20