人工智能干预心理健康和福祉的伦理考虑:确保负责任的实施和影响

H. R. Saeidnia, Seyed Ghasem Hashemi Fotami, Brady D. Lund, N. Ghiasi
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引用次数: 0

摘要

人工智能通过提供个性化支持和改善可及性,有可能彻底改变心理健康服务。然而,解决伦理问题以确保对个人负责和有益的结果至关重要。本系统性综述研究了人工智能(AI)干预措施在心理健康和福祉领域的实施和影响所涉及的伦理问题。为确保分析的全面性,我们在顶级学术数据库中采用了结构化检索策略,包括 PubMed、PsycINFO、Web of Science 和 Scopus。搜索范围包括 2014 年至 2024 年发表的文章,最终对 51 篇相关文章进行了综述。综述确定了 18 项关键的伦理考虑因素,包括与在心理健康和福祉中使用人工智能干预措施相关的 6 项伦理考虑因素(隐私和保密性、知情同意、偏见和公平性、透明度和问责制、自主性和人的能动性,以及安全性和有效性);与在心理健康环境中开发和实施人工智能技术相关的 5 项伦理原则,以确保负责任的实践和积极的成果(伦理框架、利益相关者参与、伦理审查、减少偏见,以及持续评估和改进);以及促进在心理健康干预中合乎伦理地使用人工智能的 7 项实践、指导方针和建议(遵守伦理指导方针、确保透明度、优先考虑数据隐私和安全、减少偏见并确保公平、利益相关者参与、定期进行伦理审查以及监测和评估结果)。本系统综述强调了伦理因素在负责任地实施人工智能干预措施并对心理健康和幸福产生影响方面的重要性。通过解决隐私、偏见、同意、透明度、人工监督和持续评估等问题,我们可以确保聊天机器人和人工智能医疗设备等人工智能干预措施的开发和部署符合伦理道德,尊重个人权利,促进公平,在最大限度地提高效益的同时减少潜在危害。
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Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact
AI has the potential to revolutionize mental health services by providing personalized support and improving accessibility. However, it is crucial to address ethical concerns to ensure responsible and beneficial outcomes for individuals. This systematic review examines the ethical considerations surrounding the implementation and impact of artificial intelligence (AI) interventions in the field of mental health and well-being. To ensure a comprehensive analysis, we employed a structured search strategy across top academic databases, including PubMed, PsycINFO, Web of Science, and Scopus. The search scope encompassed articles published from 2014 to 2024, resulting in a review of 51 relevant articles. The review identifies 18 key ethical considerations, including 6 ethical considerations associated with using AI interventions in mental health and wellbeing (privacy and confidentiality, informed consent, bias and fairness, transparency and accountability, autonomy and human agency, and safety and efficacy); 5 ethical principles associated with the development and implementation of AI technologies in mental health settings to ensure responsible practice and positive outcomes (ethical framework, stakeholder engagement, ethical review, bias mitigation, and continuous evaluation and improvement); and 7 practices, guidelines, and recommendations for promoting the ethical use of AI in mental health interventions (adhere to ethical guidelines, ensure transparency, prioritize data privacy and security, mitigate bias and ensure fairness, involve stakeholders, conduct regular ethical reviews, and monitor and evaluate outcomes). This systematic review highlights the importance of ethical considerations in the responsible implementation and impact of AI interventions for mental health and well-being. By addressing privacy, bias, consent, transparency, human oversight, and continuous evaluation, we can ensure that AI interventions like chatbots and AI-enabled medical devices are developed and deployed in an ethically sound manner, respecting individual rights, promoting fairness, and maximizing benefits while minimizing potential harm.
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