人工智能聊天机器人和HIPAA合规性对AI开发商和供应商的挑战
1PENN STATE DICKENSON LAW SCHOOL, CARLISLE, PA, USA.
概括
大型语言模型 (LLM) 的开发者在处理受保护的健康信息 (PHI) 时可能会受到健康保险可移植性和问责法案 (HIPAA) 的约束. 这种名称使得他们根据HIPAA法规成为商业伙伴.
科学领域:
- 卫生法 法律 卫生法
- 人工智能的人工智能
- 信息治理 信息治理
背景情况:
- 大型语言模型 (LLM) 在包括医疗保健在内的各个领域越来越多地使用.
- 医疗保险可移植性和问责法案 (HIPAA) 制定了保护敏感患者健康信息的标准.
- 在LLM技术和医疗保健数据的交集提出了重要的监管问题.
研究的目的:
- 澄清根据HIPAA对LLM开发者和供应商的监管义务.
- 为了确定LLM提供商何时成为HIPAA的业务合作伙伴.
- 分析使用LLMs处理受保护健康信息 (PHI) 的影响.
主要方法:
- 分析健康保险可移植性和问责法案 (HIPAA) 的定义.
- 审查所涵盖实体和业务合作伙伴的角色和责任.
- 审查有关技术供应商和PHI的法律先例和指导.
主要成果:
- 根据HIPAA,LLM开发商和供应商可能会代表被覆盖实体处理PHI,被认为是商业伙伴.
- 这种分类使LLM提供商受到HIPAA的安全和隐私规则的约束.
- 不遵守HIPAA可能会导致严重的处罚.
结论:
- 在处理受保护的健康信息时,LLM提供者必须了解并遵守HIPAA法规.
- 建立强大的合规框架对于在医疗保健领域运营的LLM供应商至关重要.
- 法律环境需要仔细考虑数据隐私和AI在医疗保健中的安全性.
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