Will adoption of AI in key delivery departments contribute to more efficient and effective public services?
Background
In the National AI Strategy, the government made commitments to enrich our understanding of AI as it impacts the economy and society more broadly. Additionally, we recently launched a steering board chaired by the heads of both the government analysis and scientific functions, to ensure cohesive cross government approaches to understanding AI impacts. An overview of the high-level questions we are asking in this regard are outlined in the section below. (https://www.gov.uk/government/publications/national-aistrategy)
Some priority work we are currently developing to meet these commitments include:
An analysis of the AI White Paper consultation to feed into the formal consultation response. This will allow us to take on feedback from the public and various key players in sectors across the economy, and better tailor policy interventions to support strategic AI aims.
Establishing the AI Safety Institute to advance the world’s knowledge of AI safety by carefully examining, evaluating, and testing new frontier AI systems. The Institute will conduct fundamental research on how to keep people safe in the face of fast and unpredictable progress in AI, improving our understanding of the capabilities and risks of AI systems.
A monitoring and evaluation framework for AI regulatory interventions in tandem with the AI regulatory white paper. This will develop our understanding of key metrics to monitor with regards to Ai governance and ecosystem impacts.
Research into the AI sector and supply. Updating the AI Sector Study to establish a consistent and comparable set of economic indicators for the AI sector in terms of producers and suppliers. This study helps us to best understand where the AI sector needs support, to grow sovereign capability of the UK in AI, in alignment with strategic priorities.
The development of a cross-economy national AI risk register. Developed in tandem with a responsibility register that garnered cross Whitehall agreement on which departments hold which risks with regards to AI. The risk register will provide a single source of truth on AI risks which regulators, government departments, and external groups can use to prioritise further action.
Further research into Compute and the best ways to leverage compute to support the AI sector. This will be key to informing our response to the future of compute review, and maximising the £1 billion+ investments in state-of-the-art compute.
Next steps
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Related UKRI funded projects
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FRAIM: Framing Responsible AI Implementation and Management
Context Increasing applications of AI technologies have necessitated rapid evolution in organisational policy and practice. However, these rapid changes have often been isolated in individual organisations and sectors, ...
Funded by: AHRC
Lead research organisation: University of Sheffield
Why might this be relevant?
Partially relevant as it focuses on responsible AI implementation and management, not specifically on adoption in key delivery departments.
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Weaving an AI Safety Net for UK and Canada
In response to the increasing international recognition of the harms arising from the deployment of artificial intelligence (AI) systems and the emergent establishment of AI Safety Institutes in multiple countries,...
Funded by: AHRC
Lead research organisation: University of Sheffield
Why might this be relevant?
Partially addresses the question by focusing on AI safety and regulatory frameworks, but does not directly address the impact on public services.
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Manchester Metropolitan University and Greater Manchester Combined Authority KTP 24_25 R1
To develop, test, and embed an Artificial Intelligence Assessment Framework Tool that will allow users from across the public sector to understand the risks, limitations and opportunities of AI tools and technologies....
Funded by: Innovate UK
Lead research organisation: MANCHESTER METROPOLITAN UNIVERSITY
Why might this be relevant?
The project aims to develop an AI Assessment Framework Tool for the public sector, aligning with the goal of understanding the risks and opportunities of AI in key delivery departments.