The Creation and Analysis of Government AI Transparency Statements in Australia
For policymakers and researchers, it provides empirical evidence on the real-world execution of AI transparency mandates, highlighting areas for improvement in public-sector AI accountability.
This paper introduces AITS-101, the first dataset of Australian government AI Transparency Statements, and systematically analyzes their content, revealing substantial variation in disclosure and gaps between policy intent and implementation.
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.