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人工智能方法治疗进食障碍的伦理挑战

Ethical Challenges in AI Approaches to Eating Disorders.

机构信息

Department of Neuroscience, Monash University, Melbourne, Australia.

Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.

出版信息

J Med Internet Res. 2023 Aug 14;25:e50696. doi: 10.2196/50696.

DOI:10.2196/50696
PMID:37578836
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10463082/
Abstract

The use of artificial intelligence (AI) to assist with the prevention, identification, and management of eating disorders and body image concerns is exciting, but it is not without risk. Technology is advancing rapidly, and ensuring that responsible standards are in place to mitigate risk and protect users is vital to the success and safety of technologies and users.

摘要

人工智能（AI）在协助预防、识别和管理饮食失调和身体意象问题方面的应用令人兴奋，但并非没有风险。技术正在迅速发展，确保制定负责任的标准以降低风险并保护用户，对于技术和用户的成功和安全至关重要。

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本文引用的文献

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The oracle of Delphi 2.0: considering artificial intelligence as a challenging tool for the treatment of eating disorders.德尔斐 2.0 神谕：将人工智能视为治疗饮食失调症的挑战性工具。
Eat Weight Disord. 2023 Jun 19;28(1):50. doi: 10.1007/s40519-023-01579-8.
2
Focusing on Digital Research Priorities for Advancing the Access and Quality of Mental Health.聚焦推进心理健康服务可及性与质量的数字研究重点。
JMIR Ment Health. 2023 Apr 24;10:e47898. doi: 10.2196/47898.
3
Designing Digital Interventions for Eating Disorders.设计饮食失调的数字干预措施。
Curr Psychiatry Rep. 2023 Apr;25(4):125-138. doi: 10.1007/s11920-023-01415-x. Epub 2023 Mar 16.
4
Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions.机器学习在饮食失调领域的潜在益处与局限性：当前研究与未来方向
J Eat Disord. 2022 May 8;10(1):66. doi: 10.1186/s40337-022-00581-2.
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Int J Eat Disord. 2022 Mar;55(3):343-353. doi: 10.1002/eat.23662. Epub 2021 Dec 28.
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