While the UK government has recognised the transformative potential of AI, outdated IT infrastructure, budget constraints, skills gaps, operational procedures, and data issues are challenging its adoption and implementation.
These were the findings in a new research report, ‘Data & AI in the UK government: Overcoming barriers and realising potential‘ from SAS, carried out in partnership Total Research. It follows similar research in 2022, surveying 170 officials from across government about the current state of digital transformation.
Only around one in five respondents report ‘a lot’ or ‘significant’ progress in key AI-related areas, such as automation technologies (22 percent), machine learning/artificial intelligence (17 percent), and generative AI (12 percent).
‘Cost and budget restrictions’ are the primary concerns for the lack of progress among two-thirds of respondents (67 percent), followed by a ‘lack of internal technical knowledge or expertise’ (63 percent). More than half cite outdated legacy systems (57 percent) as a barrier.
Meanwhile, concerns about data security and privacy, along with fragmented systems, hinder progress for 52 percent of respondents. Issues with data quality and consistency are also prevalent, affecting more than 40 percent of respondents who cite non-standard records (45 percent) and the ‘availability of high-quality data’ (42 percent) as significant problems.
The slow uptake underscores a gap between strategic goals and practical implementation, following the government’s new vision for digital and data.
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The Government Digital Service (GDS), Central Digital and Data Office (CDDO), and the Artificial Intelligence Incubator have been relocated to the Department for Science, Innovation and Technology (DSIT) to enhance digital services and innovation in both the public and private sectors.
In line with this goal, when asked about their priorities, 22 percent of respondents ranked ‘harnessing AI-driven capabilities for automation’, up from 12 percent in 2022.
“Enhancing efficiency and improving the services to citizens are just two of the benefits AI can offer, but the integration of this technology in the public sector is lagging behind. It’s clear that issues surrounding data privacy, security, and ethical AI are influencing how these technologies are implemented,” said Nicola Furlong, director for public sector, health and life sciences at SAS.
“Ensuring robust governance and adherence to ethical standards is critical to the successful adoption of AI and gen AI, in addition to substantial investment in infrastructure and expertise to effectively integrate gen AI into existing systems. Government departments should begin by planning and allocating resources, then identifying use cases before developing AI prototypes, followed by implementation and ongoing assessment to maintain the solution.”
The government’s approach to data usage is captured in the Functional Data Standard (FDS), which is designed to ensure organisations adhere to rigorous guidelines, creating a foundation for robust digital and data initiatives.
“Compliance with the data standards enable data to be shared across government more easily, supports greater automation and provides opportunities to use AI more effectively,” said Patrick Haston, head of cloud transformation, Cabinet Office.
