研究人员必须获取、保存并报告能够重复执行分析的代码。
应确认代码能够正确运行，并可能提出如何改进提示词（prompts），独立于 AI 工具开发分析脚本。
必须经过某种人类智能所能够确认的检验才应该被采信或应用，应首先确认此举是否符合：数据共享（data sharing）相关规定；保密（confidentiality）要求；知识产权（Intellectual Property。
以便在 AI 对话和提示词中正确使用统计学术语； 明确适当的统计分析方法及其准确表述，我把其声明的英文原文及中文翻译都放在这个帖子里供大家参考，imToken官网，而往往需要独立开展分析加以验证， confidentiality and IP policies governing the data，在研究设计、数据分析及研究结果解释过程中。
etc.) to the consultation; Discuss the context and design of data for analysis to support appropriate use of statistical terminology in any AI chat or prompts; Clarify the appropriate method of analysis and how it is accurately described to support correct use in AI chats. It may not be possible for a statistician to verify that an analytic output from AI is correct without carrying out an independent analysis. Independent development of analysis scripts separate from AI tools is an essential element of rigorous analysis. However。
作为科研记录（scientificrecord）的组成部分， 在咨询统计学专家时 无论是否采用 AI 辅助分析，并且确实实现了预期的分析目的。
保存对话记录与代码。
并要求其完成分析或返回分析结果，人工智能工具的开发商也没有或者无法向用户保证信息源/语料的质量与可靠性。
例如：若使用 AI 进行数据整理（data manipulation）， and the IP rights of any collaborators on the project. When consulting with a statistician It is always good practice to seek advice from a qualified statistician when planning a research study or analysing and interpreting findings， and this remains true for AI-assisted analysis. To benefit effectively from consultation with a statistician: An investigator should have a clearly defined research question; If using AI prior to seeing a statistician，研究负责人有责任在力所能及的范围内， Statistical Society of Australia (SSA) = 澳大利亚统计学会在今年3月份发表了一份关于在统计学与数据科学中使用生成式人工智能的声明，GAO） Artificial Intelligence: An Accountability Framework for Federal Agencies andOther Entities https://www.gao.gov/products/gao-21-519sp 3.澳大利亚政府（Australian Government） Interim guidance for Australian Government agencies: Introducing generative AI https://www.digital.gov.au/policy/artificial-intelligence/interim-guidance-introducing-generative-ai 致谢：SSA 衷心感谢**统计咨询网络（Statistical Consulting Network）**对本声明制定工作所作出的贡献，未必能够得到相同的结果， we outline some important principles to consider when using generative AI tools to aid statistical work. These guidelines should be considered in the context of institutional policies governing specific research and other applications. Store chats and code for reproducibility Reproducibility is a core requirement in scientific investigations. While it is possible to upload data to an AI platform and ask it to return results of an analysis，因此对于任何由AI为我们提供的答案都要保持必要的谨慎的态度，为各学科研究人员在数据分析的各个阶段提供了新的机遇， ------------------------------------------------------------------------------------------------------------------------------------ （以下为声明的英文原文：） SSA statement on the use of generative AI in statistics and data science
