Conference: Statistics in the Age of AI

会议：人工智能时代的统计

• 批准号: 2349991
• 负责人: Xiaoke Zhang
• 金额: $ 1.84万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349991&HistoricalAwards=false
• 关键词: Conference; Statistics; Age; AI

The conference “Statistics in the Age of AI” will be held at George Washington University, Washington, DC on May 9-11, 2024. With the boom of artificial intelligence (AI), partly accelerated by the launching of large language models (e.g., ChatGPT), AI tools have reached every corner of our society. In this era where many business and scientific problems are being tackled via AI systems, statistics has become more critical than ever since it can offer uncertainty quantification, causal analysis, and interpretability among others, which most AI systems are lacking. This conference will bring together researchers and practitioners in academics and industries to explore the impact of AI on statistical research, education, and practice and also to brainstorm how statistics can contribute to AI. The conference organizers encourage participation and attendance by students, post-doctoral scholars, early-career researchers, and individuals from underrepresented groups. The conference features short courses, poster and oral presentations, and panel discussions. The two short courses will focus on causal inference and conformal inference respectively. The presentations and panel discussions will address efficient handling of data for AI models and architectures, uncertainty quantification, and responsible decision-making among other topics. Further information will become available on the conference website: https://statistics.columbian.gwu.edu/statistics-age-ai.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.

会议“ AI时代的统计数据”将于2024年5月9日至11日在华盛顿特区的乔治华盛顿大学举行。随着人工智能的繁荣（AI）的繁荣，一定程度地加速了大型语言模型（例如Chantgpt），AI工具已经到达了我们社会的每个角落。在这个时代，许多通过AI系统解决了许多业务和科学问题，统计数据比以往任何时候都变得更加重要，因为它可以提供不确定性量化，因果分析和可解释性，而这些统计数据都缺乏大多数AI系统。这次会议将汇集学者和行业的研究人员和实践者，以探索AI对统计研究，教育和实践的影响，以及集思广益，以集思广益统计如何为AI做出贡献。会议组织者鼓励学生，博士后学者，早期研究人员以及来自代表性不足的团体的个人参加和出席。会议的课程，海报和口头演讲以及小组讨论。这两个简短的课程将分别集中在灾难性的推论和形式上。演示和小组讨论将解决对AI模型和体系结构，不确定性量化以及负责任决策以及其他主题的有效处理数据。更多信息将在会议网站上获得：https：//statistics.columbian.gwu.edu/statistics-age-ai.this Award反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准通过评估来评估的支持。