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Responsible Artificial Intelligence (AI) for digital health and medical analytics.
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Global consensus can foster responsible and ethical use of AI and robotics in healthcare worldwide.
“Global consensus can foster responsible and ethical use worldwide.[6,56]”
From Ethical implications of AI and robotics in healthcare: A review (2023) · cites this paper as [56]
The Introduction describes ethical and responsible AI use in healthcare and notes that countries have adopted data-protection regulations. The Pathways for Further Research section calls for policies and legislation, but neither section says that global consensus would foster responsible use worldwide; the passages also do not address robotics. (LLM, conf=0.80)
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Self-citation
Metadata
- Authors
- Sivarajah, U., Wang, Y., Olya, H., & Mathew, S.
- Affiliations
- University of Bradford (GB)
- University of Sheffield (GB)
- Corresponding author
- Sivarajah, Uthayasankar
- Venue
- Information Systems Frontiers
- Published
- 2023-06-05
- Volume
- 25
- Issue
- 6
- Pages
- 2117-2122
- ISSN
- 1387-3326 (ISSN-L)
- 1572-9419
- PMC
- PMC10240104
- OpenAlex
- W4379386266
- Cited by
- 36
- References
- 16
- Citations by year
- 2026: 9 · 2025: 20 · 2024: 6 · 2023: 1
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Information Systems Frontiers (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Repository (Kingston University London) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (submittedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- responsible AI, digital health, patient trust, personalized medicine, patient information
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