使用人工智能分析NHGRI的基因组学史和人类基因组项目档案的伦理考虑
Mohammad Hosseini1, Spencer Hong2, Kristi Holmes1
1Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Journal of escience librarianship
|November 18, 2024
概括
这项研究使用人工智能 (AI) 和大型语言模型 (LLM) 来创建国家人类基因组研究所 (NHGRI) 的结构化数字档案. 这个知识库有助于理解科学知识的生产,并解决了在研究档案中道德AI的使用.
科学领域:
- 基因组学和生物信息学
- 研究中的人工智能.
- 科学知识管理科学知识管理
背景情况:
- 优化科学知识的生产对于资助者,机构和研究人员来说至关重要.
- 结构化档案提供了对影响知识创造的因素的见解.
- 国家人类基因组研究所 (NHGRI) 拥有广泛的历史档案.
研究的目的:
- 使用人工智能和LLMs创建NHGRI历史档案的结构化数字表示.
- 开发一个分析人类基因组项目和相关倡议的知识基础.
- 评估使用人工智能和LLM进行档案分析的伦理影响.
主要方法:
- 采用人工智能 (AI) 和大型语言模型 (LLM) 来处理和结构化档案数据.
- 创建了一个实体,主题和文档的数字知识库.
- 进行了对内部项目档案的计算调查.
主要成果:
- 开发了NHGRI历史档案的第一个结构化数字知识库.
- 启用了对人类基因组项目,癌症基因组图谱 (TCGA) 和DNA元素百科全书 (ENCODE) 的深入分析.
- 确定了在档案研究中使用AI/LLM的伦理考虑和降低风险的措施.
结论:
- 人工智能产生的知识库有助于对科学发展和目标演变的理解.
- 这种方法论为未来的档案调查提供了信息,强调道德的人工智能部署.
- 研究结果支持在研究规划,政策和透明度方面制定人工智能标准.
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