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AI Public Services

 

 

 

This is the newest of our Working Groups. The Working Group is exploring the increased use of AI and big data in public services including how AI can boost efficiency, effectiveness, and innovation in delivery. This includes AI risks around bias, accessibility, data privacy, and public trust. 

 

The Working Group is discussing the opportunities such technologies present for the way in which our public services are currently organised and run. Can departmental structures and traditional organisational silos be modernised so we could potentially create a public sector LLM as well as cross-departmental data lakes? The benefits, if achieved, could free up resources and staff to deliver more valuable frontline tasks as well as reduce costs. 

 

We are looking at using AI to deliver more efficient public services. We are considering the opportunities for the civil service to leverage AI to streamline processes and enhance operational efficiency. This can include focusing on automating routine tasks, improving resource allocation, and reducing operational costs. To achieve this we are looking at infrastructure requirements, integration with existing systems, and change management strategies.

 

AI could also deliver more effective Public Services delivering better outcomes and enhancing service delivery. AI can help with advanced analytics, predictive modelling, and decision support systems that enable data-driven decision-making. AI can improve customer experience, enhance service personalisation, and create new value propositions. 

 

The working Group is very aware of the need for AI Public Services to have an ethical dimensions of AI deployment, focusing on ways of building fair, transparent, secure and accountable public services. This includes strategies for identifying and mitigating algorithmic bias, ensuring privacy protection and maintaining human oversight. 

What the UK Spending Review means for AI Policy

by Professor Alan Brown

Research Director, DPA

The UK’s latest Spending Review marks a bold turning point in AI policy, with £2 billion earmarked for AI development and major investments across research, infrastructure, and public services. While this signals strong ambition for digital sovereignty and transformation, Professor Alan Brown cautions that without equal focus on ethics, oversight, and public engagement, the UK risks prioritizing speed over responsibility in its AI journey.

 

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6th Public Sector AI Conference - Chair's Blog

by Professor Mark Thompson

Exeter Business School and DIGITLab

The 6th Public Sector Innovation Conference highlighted the growing gap between AI's potential and its practical implementation in government. While AI pilots are emerging, real transformation is hindered by outdated systems and siloed structures. Speakers emphasized the need for ethical governance, transparency, and inclusive data practices, alongside more agile procurement and regulation to keep pace with rapid technological change.

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Our Advisory Group

Lord Ranger

Advisor

Professor Mark Thompson

Advisory Board

Robin Knowles

Chair | Advisory Board

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