Data Validation Crisis: Why Public Institutions Fail to Check Before Publishing

The article exposes critical data quality failures in official UK government and institutional datasets, revealing systematic validation gaps that fundamentally undermine public trust. As AI systems increasingly train on and regurgitate unvetted data without source verification, these validation failures risk being exponentially amplified, potentially making AI-generated misinformation indistinguishable from reliable information. Quality assurance of public data is not a technical luxury but a foundational responsibility for institutional credibility.