NSF Workshop on Safety and Trust in Artificial Intelligence Enabled Systems

NSF 人工智能支持系统安全与信任研讨会

• 批准号: 2231543
• 负责人: Taylor Johnson
• 金额: $ 4.91万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231543&HistoricalAwards=false
• 关键词: NSF; Workshop; Safety; Trust; Artificial

This aim of this workshop is to identify emerging issues, challenges, basic research questions, and potential approaches to study and address safety and trust in AI-enabled systems across application domains. The workshop will bring together researchers from academia, industry, and government research labs that are working in the areas of artificial intelligence, and formal methods, and application domains such as autonomous systems, business and finance, and education. The main deliverable of the workshop is a report summarizing the discussions and findings of the workshop, which will be made publicly available.Fostering the development of collaborations and the exchange of ideas between the formal methods, AI/ML, and broader research communities and stakeholders is critical and may lead to advances in methods that improve both AI/ML and formal methods, as well as the broader concerns about safety and trust of these AI-enabled systems across science, engineering, and society. The workshop will particularly encourage participation and perspectives from persons coming from underrepresented groups.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该研讨会的这个目的是确定新兴问题，挑战，基础研究问题以及潜在的方法，以研究和解决跨应用程序领域对AI支持系统的安全和信任的潜在方法。该研讨会将汇集来自学术界，行业和政府研究实验室的研究人员，这些研究人员正在人工智能，正式方法以及应用领域，例如自治系统，商业和金融以及教育等应用领域。研讨会的主要交付是一份报告，总结了研讨会的讨论和发现，这将公开可用。建立协作的发展以及在形式方法，AI/ML以及更广泛的研究社区和更广泛的研究社区和利益相关者之间的思想交流以及在跨越范围内的范围和正式方法方面都可以提高的范围和正式方法以及这些范围以及这些范围的范围以及这些范围以及这些正式方法以及这些范围以及这些范围以及这些范围的范围以及这些范围以及这些正式方法以及这些范围以及这些范围的良好方法以及这些方法的发展，以及工程和社会。该研讨会将特别鼓励来自代表人数不足的人的参与和观点。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来支持的。