Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students
Olga Navarro Martínez1, David Fernández-García2, Noemí Cuartero Monteagudo2,3
1Nursing Education and Care Research Group (GRIECE), Nursing Department, Faculty of Nursing and Podiatry, Universitat de València, Menéndez y Pelayo, 19, 46010 Valencia, Spain.
Young nursing students recognize the dual potential of AI-generated DeepFake technology, acknowledging both its risks like cyberbullying and benefits in healthcare training and diagnosis. Education and regulation are key to navigating its ethical landscape.
Area of Science:
- Artificial Intelligence
- Digital Health
- Medical Ethics
Background:
- DeepFakes are AI-generated synthetic media, utilizing neural networks for face-swapping and voice modification.
- Limited research exists on the risks and benefits of DeepFake technology.
Purpose of the Study:
- To explore nursing students' perceptions of DeepFake technology.
- To assess their understanding of its ethical implications and potential healthcare applications.
Main Methods:
- Qualitative thematic content analysis of recorded videos from 50 third-year nursing students.
- Data analyzed using ATLAS.ti software.
- Study approved by the Ethics Committee.
Main Results:
- Identified 21 codes across four themes: advantages, disadvantages, health applications, and ethical dilemmas.
- Perceived benefits include applications in diagnosis, patient support, and enhanced training.
- Perceived risks encompass cyberbullying, identity issues, and psychological harm from fabricated memories.
Conclusions:
- Nursing students perceive both advantages and disadvantages of DeepFake technology.
- Students are aware of the ethical dilemmas and potential healthcare applications.
- Emphasized the need for regulation and education to harness DeepFake technology's potential in nursing and digital health leadership.
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