A report commissioned to test age assurance technology for Australia's under-16 social media ban has been found to contain significant citation errors. The trial, conducted by the UK-based Age Check Certification Scheme (ACCS) and costing $3.48 million, was cited by Communications Minister Anika Wells as evidence for the ban.
A Senate inquiry received a submission highlighting at least two citation errors, suggesting they were "AI hallucinated." Guardian Australia's analysis identified six references in the report's "emerging technologies" chapter with errors.
ACCS initially denied using AI in the report's generation but later conceded that ChatGPT was used to rewrite paragraphs for conciseness. They maintained that all cited materials were checked as genuine and relevant.
However, the identified errors include Digital Object Identifiers (DOIs) linking to non-existent or incorrect papers, and author, journal, and publication year combinations that do not match known references. Some DOI links also led to papers that did not support the report's claims.
When asked for clarification, ACCS provided new references, but these also contained errors. A list of journal articles intended to correct the original citations included years, authors, and journal titles that did not match the initial report.
One article cited by ACCS was reportedly accessed in March 2025, indicating a future date.
The discovery of these errors raises questions about the reliability of the evidence used to support Australia's under-16 social media ban. The report was presented as a key justification for the ban, which came into effect in December last year. The ongoing Senate inquiry is examining ways to strengthen the social media ban law.
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A report used to justify Australia's under-16 social media ban, which cost $3.48 million, has been found to contain multiple citation errors, some of which appear to be AI hallucinations. The UK-based Age Check Certification Scheme (ACCS), which conducted the trial, admitted to using ChatGPT for editing but denied AI generated the citations. This raises concerns about the reliability of the evidence supporting the social media ban.