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TAI-PRM:可信的人工智能项目风险管理框架向工业5.0发展
Eduardo Vyhmeister1, Gabriel G Castane1
1Insight Centre of Data Analytics, University College Cork, Cork, Ireland.
概括
TAI-PRM框架将道德考虑纳入制造业的AI风险管理,朝着工业5.0迈进. 这种方法通过解决社会和以人为中心的需求,确保开发和部署可靠的AI系统.
科学领域:
- 制造业 制造技术 制造技术
- 人工智能伦理学 人工智能伦理学
- 风险管理 风险管理
背景情况:
- 工业4.0在自动化和数据处理方面严重依赖人工智能.
- 过渡到工业5.0需要将以人为中心和社会层面纳入人工智能发展.
- 现有的人工智能实践需要将伦理考虑与标准和风险管理相结合.
研究的目的:
- 引入TAI-PRM框架,用于管理制造业中与人工智能工件相关的风险.
- 将伦理考虑纳入风险管理过程中的危险.
- 为了使可靠的人工智能在制造业的开发和部署.
主要方法:
- 开发了TAI-PRM框架,基于故障模式和影响分析 (FMEA) 和ISO 31000.
- 确定了作为影响系统流程和可持续性的危险的伦理考虑因素.
- 在一个专注于制造业数字双胞胎人工智能的欧盟项目中应用了框架.
主要成果:
- TAI-PRM框架有效地识别和跟踪人工智能工件中的故障模式.
- 该框架帮助用户管理与人工智能部署相关的伦理风险.
- 在一个欧盟项目中的验证证明了该框架对制造业中可靠的人工智能的实用性.
结论:
- TAI-PRM框架提供了一种结构化的方法来管理制造业人工智能的伦理风险.
- 将伦理考虑纳入风险管理对于工业5.0至关重要.
- 该框架支持在工业环境中创建可靠和以人为中心的AI系统.
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