发表机构
Novo Nordisk A/S（诺和诺德公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究探讨人工智能兴起后统计的定位问题，指出AI压缩了统计专属任务范围，虽能降低主张生成与统计支撑成本，但模型无法满足统计实践的问责要求，进而提出统计领导力需明确负责的主张范围。
AI 中文摘要
统计学家一个多世纪以来一直主张我们不只是计算器，通常会指出我们还知晓的其他内容。人工智能让这种辩护愈发困难，因为随着每个模型发布，仅统计学家能完成的任务清单越来越短。人工智能让生成主张的成本降低，最终或许也会让支撑这些主张的统计工作成本降低。不过，模型无法以统计实践要求的方式承担责任，因此统计领导力就变成了我们要为哪些主张负责的问题，包括我们通过在系统中融入判断而预先负责的那些主张。
英文摘要
Statisticians have spent over a century arguing that we are more than calculators, usually by pointing to what else we know. AI is making that defense harder, since the list of what only statisticians can do grows shorter with each model release. AI makes claims cheap to generate and may eventually make the statistics behind them cheap too. However, a model cannot be answerable in the way that statistical practice requires. Statistical leadership then becomes a question of which claims we are there to answer for, including the ones we answer for in advance by building judgment into systems.
Comments7 pages, 0 figures
