深度假视频的可能健康益处和风险:护理学生的定性研究
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.
Nursing reports (Pavia, Italy)
|October 25, 2024
概括
年轻的护理学生认识到人工智能生成的DeepFake技术的双重潜力,承认其风险 (如网络欺凌) 和在医疗保健培训和诊断中的好处. 教育和监管是导航其道德格局的关键.
科学领域:
- 人工智能的人工智能
- 数字健康数字健康
- 医学伦理 医学伦理
背景情况:
- DeepFakes 是人工智能生成的合成媒体,利用神经网络进行面部交换和语音修改.
- 关于DeepFake技术的风险和好处的研究有限.
研究的目的:
- 为了探索护理学生对DeepFake技术的看法.
- 评估他们对其伦理影响和潜在的医疗保健应用的理解.
主要方法:
- 50名护士三年级学生录制的视频的定性主题内容分析.
- 数据使用ATLAS.ti软件进行分析.
- 伦理委员会批准的研究.
主要成果:
- 在四个主题中确定了21个代码:优点,缺点,健康应用和道德困境.
- 感知到的好处包括诊断,患者支持和增强培训中的应用.
- 感知到的风险包括网络欺凌,身份问题和虚构记忆造成的心理伤害.
结论:
- 护理学生认识到DeepFake技术的优点和缺点.
- 学生们意识到道德困境和潜在的医疗保健应用.
- 强调需要监管和教育,以利用DeepFake技术在护理和数字健康领导方面的潜力.
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