统计学如何应对AI时代挑战？这场圆桌对话给出真实思考。
"Rebuilding" Statistics in the Age of AI: A Town Hall Discussion on Culture, Infrastructure, and Training
- 召集顶尖统计学家展开开放讨论，不讲稿、无预设答案。
- 聚焦文化变革、数据工作、与现代建模融合等五大核心议题。
- 适合关心统计学未来发展的研究者与教育者阅读。
本文完整记录了2024年联合统计会议（JSM）圆桌论坛「人工智能时代的统计学」的原始对话内容。该论坛汇聚多位统计学领军人物，围绕人工智能、基础模型、大规模经验建模及数据密集型基础设施的发展，探讨统计学科的演变路径。讨论以开放式面板对话与观众问答为主，旨在获取基于实践经验的真实观点，而非正式演讲或预设声明。本文保留了与会者之间的深入交流，仅作最小限度编辑，并按五个核心问题组织内容：学科文化与实践、数据治理与「数据工作」、与现代经验建模的互动、面向大规模AI应用的培训，以及与关键AI利益相关方的合作。通过存档此次对话，本预印本致力于推动透明度、社区反思与持续对话，助力统计学在数据与人工智能主导的未来中定位自身角色。
原文摘要 · Abstract (English)
This article presents the full, original record of the 2024 Joint Statistical Meetings (JSM) town hall, "Statistics in the Age of AI," which convened leading statisticians to discuss how the field is evolving in response to advances in artificial intelligence, foundation models, large-scale empirical modeling, and data-intensive infrastructures. The town hall was structured around open panel discussion and extensive audience Q&A, with the aim of eliciting candid, experience-driven perspectives rather than formal presentations or prepared statements. This document preserves the extended exchanges among panelists and audience members, with minimal editorial intervention, and organizes the conversation around five recurring questions concerning disciplinary culture and practices, data curation and "data work," engagement with modern empirical modeling, training for large-scale AI applications, and partnerships with key AI stakeholders. By providing an archival record of this discussion, the preprint aims to support transparency, community reflection, and ongoing dialogue about the evolving role of statistics in the data- and AI-centric future.
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