Responsible artificial intelligence in public health: a Delphi study on risk communication, community engagement and infodemic management
To responsibly navigate the multifaceted opportunities, challenges and risks of AI for RCCE-IM in public health emergencies, clear guiding principles, ongoing critical evaluation and training as well as societal collaboration across countries are needed.
Authors
- Keyrellous Adib (ORCID: https://orcid.org/0000-0001-9995-8400)
- Cristiana Salvi (ORCID: https://orcid.org/0009-0006-8434-483X)
- David Novillo-Ortiz (ORCID: https://orcid.org/0000-0001-9756-0984)
- Daniela Mahl (ORCID: https://orcid.org/0000-0002-5330-6885)
- Mike S. Schäfer (ORCID: https://orcid.org/0000-0002-0847-7503)
- Silviu Cristian Voinea
- Ben Duncan
Institutions
- University of Zurich (CH)
- World Health Organization Regional Office for Europe (DK)
Publication Details
- Journal
- BMJ Global Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1136/bmjgh-2024-018545
- Citations
- 9
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 5.89
Funders
- George Mason University
- Wayne State University
- University of Wisconsin-Madison
- University of South Carolina
- Government of the United Kingdom
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
- European Commission
- European Centre for Disease Prevention and Control
- Nanyang Technological University
- University of Twente
- Universität Wien
- University of Surrey
- Universidade de Macau
- Hacettepe Üniversitesi
- Universität Zürich
- Technische Universität Dortmund
- Robert Koch Institut
- Centers for Disease Control and Prevention