Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students
Background: “DeepFakes” are synthetic performances created by AI, using neural networks to exchange faces in images and modify voices. Objective: Due to the novelty and limited literature on its risks/benefits, this paper aims to determine how young nursing students perceive DeepFake technology, its...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Nursing Reports |
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| Online Access: | https://www.mdpi.com/2039-4403/14/4/203 |
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| author | Olga Navarro Martínez David Fernández-García Noemí Cuartero Monteagudo Olga Forero-Rincón |
| author_facet | Olga Navarro Martínez David Fernández-García Noemí Cuartero Monteagudo Olga Forero-Rincón |
| author_sort | Olga Navarro Martínez |
| collection | DOAJ |
| description | Background: “DeepFakes” are synthetic performances created by AI, using neural networks to exchange faces in images and modify voices. Objective: Due to the novelty and limited literature on its risks/benefits, this paper aims to determine how young nursing students perceive DeepFake technology, its ethical implications, and its potential benefits in nursing. Methods: This qualitative study used thematic content analysis (the Braun and Clarke method) with videos recorded by 50 third-year nursing students, who answered three questions about DeepFake technology. The data were analyzed using ATLAS.ti (version 22), and the project was approved by the Ethics Committee (code UCV/2021–2022/116). Results: Data analysis identified 21 descriptive codes, classified into four main themes: advantages, disadvantages, health applications, and ethical dilemmas. Benefits noted by students include use in diagnosis, patient accompaniment, training, and learning. Perceived risks include cyberbullying, loss of identity, and negative psychological impacts from unreal memories. Conclusions: Nursing students see both pros and cons in DeepFake technology and are aware of the ethical dilemmas it poses. They also identified promising healthcare applications that could enhance nurses’ leadership in digital health, stressing the importance of regulation and education to fully leverage its potential. |
| format | Article |
| id | doaj-art-b375378d3fd747b6af6bae2092623ecf |
| institution | DOAJ |
| issn | 2039-439X 2039-4403 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nursing Reports |
| spelling | doaj-art-b375378d3fd747b6af6bae2092623ecf2025-08-20T02:43:39ZengMDPI AGNursing Reports2039-439X2039-44032024-10-011442746275710.3390/nursrep14040203Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing StudentsOlga Navarro Martínez0David Fernández-García1Noemí Cuartero Monteagudo2Olga Forero-Rincón3Nursing Education and Care Research Group (GRIECE), Nursing Department, Faculty of Nursing and Podiatry, Universitat de València, Menéndez y Pelayo, 19, 46010 Valencia, SpainFaculty of Medicine and Health Sciences, Catholic University of Valencia San Vicente Mártir, C/Espartero 7, 46007 Valencia, SpainFaculty of Medicine and Health Sciences, Catholic University of Valencia San Vicente Mártir, C/Espartero 7, 46007 Valencia, SpainFaculty of Medicine and Health Sciences, Catholic University of Valencia San Vicente Mártir, C/Espartero 7, 46007 Valencia, SpainBackground: “DeepFakes” are synthetic performances created by AI, using neural networks to exchange faces in images and modify voices. Objective: Due to the novelty and limited literature on its risks/benefits, this paper aims to determine how young nursing students perceive DeepFake technology, its ethical implications, and its potential benefits in nursing. Methods: This qualitative study used thematic content analysis (the Braun and Clarke method) with videos recorded by 50 third-year nursing students, who answered three questions about DeepFake technology. The data were analyzed using ATLAS.ti (version 22), and the project was approved by the Ethics Committee (code UCV/2021–2022/116). Results: Data analysis identified 21 descriptive codes, classified into four main themes: advantages, disadvantages, health applications, and ethical dilemmas. Benefits noted by students include use in diagnosis, patient accompaniment, training, and learning. Perceived risks include cyberbullying, loss of identity, and negative psychological impacts from unreal memories. Conclusions: Nursing students see both pros and cons in DeepFake technology and are aware of the ethical dilemmas it poses. They also identified promising healthcare applications that could enhance nurses’ leadership in digital health, stressing the importance of regulation and education to fully leverage its potential.https://www.mdpi.com/2039-4403/14/4/203DeepFakesartificial intelligencenursingethicstechnologyeducation |
| spellingShingle | Olga Navarro Martínez David Fernández-García Noemí Cuartero Monteagudo Olga Forero-Rincón Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students Nursing Reports DeepFakes artificial intelligence nursing ethics technology education |
| title | Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students |
| title_full | Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students |
| title_fullStr | Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students |
| title_full_unstemmed | Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students |
| title_short | Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students |
| title_sort | possible health benefits and risks of deepfake videos a qualitative study in nursing students |
| topic | DeepFakes artificial intelligence nursing ethics technology education |
| url | https://www.mdpi.com/2039-4403/14/4/203 |
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