THE USE OF ARTIFICIAL INTELLIGENCE IN MEDICAL PRACTICE AND THE QUESTION OF PERSONAL PRIVACY
Abstract
The theory of information ethics developed by Luciano Floridi provides a valuable framework for addressing the privacy and confidentiality challenges posed by the integration of AI into medical practice. By recognizing the moral status of informational entities and emphasizing the importance of their flourishing, information ethics offers a comprehensive approach to balancing the benefits of AI technologies with the fundamental need to protect patient privacy. The implementation of information ethics principles in healthcare AI requires careful attention to the design, deployment, and ongoing management of these technologies. Healthcare organizations must develop comprehensive policies and procedures that reflect these principles while providing practical guidance for staff members who work with AI systems.
While significant challenges remain in implementing information ethics principles in real-world healthcare settings, the framework provides a solid foundation for developing responsible approaches to AI adoption and use. By continuing to refine and apply these principles, healthcare organizations can work toward a future where AI technologies enhance patient care while respecting the fundamental rights and dignity of all individuals. The protection of patient privacy and the maintenance of confidentiality in the age of AI will require ongoing commitment from all stakeholders in the healthcare system. Through the application of information ethics principles and continued collaboration between different disciplines and sectors, it is possible to achieve the dual goals of technological innovation and privacy protection in healthcare.
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.