Governments increasingly deploy AI in public services, making transparency essential for accountability and public trust. Australia's Standard for AI Transparency Statements (AITS) requires government bodies to disclose how AI is used in practice, yet little empirical evidence exists on how these requirements are realised in documents. This paper presents the first government AITS dataset, dubbed AITS-101, and provides the first systematic analysis of their content. Using stylometric, quantitative, and qualitative document analyses, we examine disclosure coverage, structure, and recurring patterns. Our findings reveal substantial variation in AI-related practice disclosure, highlight gaps between policy intent and implementation, and inform the design of more effective public-sector AI transparency standards.

翻译：各国政府越来越多地将人工智能应用于公共服务，这使得透明度成为确保问责和公众信任的关键。澳大利亚的人工智能透明度声明标准（AITS）要求政府机构披露人工智能在实践中的使用方式，然而，鲜有实证研究考察这些要求如何在文件中得到体现。本文提出了首个政府AITS数据集，命名为AITS-101，并提供了对其内容的首次系统分析。通过文体计量、定量和定性文档分析，我们评估了披露覆盖范围、结构和重复出现的模式。研究结果揭示了人工智能相关实践披露中的显著差异，突出了政策意图与实施之间的差距，并为设计更有效的公共部门人工智能透明度标准提供了启示。