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Digital bioethics: exploring an emerging field
Georg Starke1, Wolf-Tilo Balke2, Lasse Benzinger3
1Institute of History and Ethics in Medicine, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. georg.starke@tum.de.
Medicine, Health Care, and Philosophy
|April 16, 2026
Summary
Digital Bioethics integrates advanced data science methods into bioethics, enhancing research and clinical applications. This emerging field requires careful definition and comparison with related disciplines to navigate its potential and challenges.
Area of Science:
- Bioethics
- Data Science
- Digital Humanities
Background:
- Bioethics has historically integrated social science methods, expanding its scope.
- A new trend involves incorporating advanced data science methods into bioethics for tasks like online data analysis and clinical ethics support.
Purpose of the Study:
- To explore the emerging field of Digital Bioethics.
- To analyze the relationship between topics and methods in Digital Bioethics.
- To advocate for a methods-based definition of Digital Bioethics.
Main Methods:
- Analysis of the relationship between topics and methods in Digital Bioethics.
- Comparison with four related academic fields: Digital Humanities, Experimental Philosophical Bioethics, computational medicine, and digitised biology.
- Discussion of the use of Artificial Intelligence (AI) in healthcare and its implications for bioethics.
Main Results:
- Digital Bioethics presents unique opportunities and challenges.
- Defining Digital Bioethics involves trade-offs but can foster field support.
- Comparative analysis with related fields offers insights for developing Digital Bioethics.
Conclusions:
- Digital Bioethics requires critical assessment and development to realize its full potential.
- Recommendations are provided for advancing bioethical research and argument through Digital Bioethics.
- Critical reflection on AI methods in bioethics is crucial for ethical oversight in AI-driven healthcare.
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