Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students.

IF 2.4 Q1 NURSING
Olga Navarro Martínez, David Fernández-García, Noemí Cuartero Monteagudo, Olga Forero-Rincón
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引用次数: 0

Abstract

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.

DeepFake 视频可能带来的健康益处和风险:护理专业学生的定性研究。
背景"DeepFakes "是人工智能创造的合成表演,利用神经网络交换图像中的人脸并修改声音:由于 "DeepFake "技术的新颖性以及有关其风险/益处的文献有限,本文旨在确定年轻的护理专业学生如何看待 "DeepFake "技术、其伦理影响以及在护理工作中的潜在益处:这项定性研究采用了主题内容分析法(布劳恩和克拉克方法),研究对象是 50 名三年级护理专业学生录制的视频,他们回答了有关 DeepFake 技术的三个问题。数据使用 ATLAS.ti(22 版)进行分析,该项目获得了伦理委员会的批准(代码 UCV/2021-2022/116):数据分析确定了 21 个描述性代码,分为四大主题:优点、缺点、健康应用和伦理困境。学生们指出的优点包括用于诊断、陪伴病人、培训和学习。认为存在的风险包括网络欺凌、身份丧失以及不真实记忆带来的负面心理影响:护理专业学生认为 DeepFake 技术有利有弊,并意识到它带来的道德困境。他们还发现了一些有前景的医疗保健应用,这些应用可以提高护士在数字健康领域的领导力,同时强调了监管和教育对充分发挥其潜力的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nursing Reports
Nursing Reports NURSING-
CiteScore
2.50
自引率
4.20%
发文量
78
期刊介绍: Nursing Reports is an open access, peer-reviewed, online-only journal that aims to influence the art and science of nursing by making rigorously conducted research accessible and understood to the full spectrum of practicing nurses, academics, educators and interested members of the public. The journal represents an exhilarating opportunity to make a unique and significant contribution to nursing and the wider community by addressing topics, theories and issues that concern the whole field of Nursing Science, including research, practice, policy and education. The primary intent of the journal is to present scientifically sound and influential empirical and theoretical studies, critical reviews and open debates to the global community of nurses. Short reports, opinions and insight into the plight of nurses the world-over will provide a voice for those of all cultures, governments and perspectives. The emphasis of Nursing Reports will be on ensuring that the highest quality of evidence and contribution is made available to the greatest number of nurses. Nursing Reports aims to make original, evidence-based, peer-reviewed research available to the global community of nurses and to interested members of the public. In addition, reviews of the literature, open debates on professional issues and short reports from around the world are invited to contribute to our vibrant and dynamic journal. All published work will adhere to the most stringent ethical standards and journalistic principles of fairness, worth and credibility. Our journal publishes Editorials, Original Articles, Review articles, Critical Debates, Short Reports from Around the Globe and Letters to the Editor.
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