导航伦理地雷场:一种多利益相关方的方法来评估使用灰色DEMATEL的生成AI的相互关联风险
Sridhar Jonnala1,2, Nisha Mary Thomas2,3, Sarthak Mishra1
1IBM India Pvt. Ltd., Bengaluru, India.
Frontiers in artificial intelligence
|July 16, 2025
概括
生成型人工智能 (GAI) 存在诸如深度假冒和偏见等伦理风险. 这项研究量化了各利益相关方的这些风险,提出了负责的人工智能部署和政策制定的框架.
科学领域:
- 人工智能伦理学 人工智能伦理学
- 人与人工智能的互动
- 技术政策 技术政策
背景情况:
- 生成型人工智能 (GAI) 提供先进的内容创建和交互功能.
- 有关重要的伦理问题伴随着GAI的进步,需要严格审查.
- 现有的研究缺乏对GAI道德风险的全面,多利益相关者分析.
研究的目的:
- 实证地分析GAI道德风险与部署结果之间的因果关系.
- 在GAI模块 (输入,培训,输出) 中识别和量化关键的伦理挑战.
- 开发一个均衡的道德风险框架,以促进负责任的GAI发展.
主要方法:
- 使用灰色决策-试验-评估-实验室方法的新型多利益相关者实证分析.
- 在AI开发人员,最终用户和决策者之间进行全面的文献审查和专家验证.
- 定量分析,包括对风险感知差异的欧几里德距离分析.
主要成果:
- 确定并分析了GAI的14个关键的伦理挑战,包括深度假冒,知识产权,数据透明度和偏见.
- 利益相关者在风险感知中发现了显著的差异,特别是在对抗性提示,数据偏差和输出偏差方面.
- 开发了一个风险分类框架:关键启用者,轻度启用者,独立启用者和关键依赖者.
结论:
- 调查结果为GAI提供了一个平衡的道德风险框架,促进负责任的创新.
- 为风险缓解策略和政策制定提供了可行的建议.
- 强调在不断变化的GAI环境中需要合作的利益相关方方法.
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