"The last year has seen consultations and strategies galore, including the AI Opportunities Action Plan, the 10-Year Health Plan for England, the Modern Industrial Strategy and the Medicines and Healthcare products Regulatory Agency's (MHRA) consultation on the Regulation of AI in Healthcare. Many of these are either directly related to AI or depend heavily on it to achieve their aims. Yet the data on which their goal achievement relies is often inconsistent, incomplete, or hard to use at scale."
"The ODI's 2025 report, the UK government as a data provider for AI, revealed that large volumes of government-published data cannot be reliably accessed by large-scale AI systems such as CommonCrawl, which is used by many major AI platforms, including ChatGPT and Anthropic. This could lead to incomplete or misleading outputs if those systems are used to access, for example, benefits advice and health information."
The UK has ambitious AI goals for 2026 across government, health, industry, and regulatory initiatives. Multiple national strategies and plans link future delivery to AI-enabled solutions, including the Roadmap for Modern Digital Government through 2030. Strong data foundations exist, such as open data traditions and valuable public datasets including health records, longitudinal education data, official statistics, and cultural heritage. However, many government datasets are inconsistent, incomplete, or difficult to access at scale, and are not reliably ingested by large-scale crawlers like CommonCrawl. Such limitations can produce incomplete or misleading AI outputs for critical domains like benefits advice and health information. Data improvements are required to make these datasets AI-ready.
Read at ComputerWeekly.com
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