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AI for Public Services

Working alongside government to plan, develop, and deploy data science and Al to improve public services.

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Introduction

AI has huge potential to help government deliver services which are more responsive, efficient and personalised. The AI for Public Services team seeks to improve public services and outcomes for citizens through the responsible and effective adoption of AI by government.

We conduct foundational research investigating the big picture of when and where AI can be applied in government, and carry out technical projects with government on the adoption of AI in specific public sector use cases. 

Drawing on our academic expertise, we apply data science methods and reproducible analyses to understand how AI can improve the provision and delivery of public services. Informed by our research programme and sectoral experience, we collaborate with government partners to design and implement AI applications for a particular prediction, detection, or simulation problem. Our expertise is grounded in our knowledge of a range of AI and data science methods, and our understanding of which method is best for a particular government use case.

We aim to support and work alongside government to plan, develop, and deploy data science and AI methods to improve public services. Our interdisciplinary team brings skills in artificial intelligence, data science, social science, regulation and governance, and experience of working in organisations such as NESTA, the Centre for Data Ethics and Innovation, the Department for Digital, Culture, Media & Sport, the Department for Science, Innovation & Technology, and the Oxford Internet Institute. 

Our current work explores questions of definition, integration, oversight, and techniques through the lens of the unique needs of public services. We are undertaking a wide range of research into AI and machine learning applications for government decision-making support, including:

  • mapping decision-making systems
  • the potential of the latest generation of language models
  • public sector use of satellite imagery
  • operational oversight requirements of systems currently in use.

We are available to partner with government organisations and can also offer impartial free advice in this area across the public sector.

 

Key publications

Publication

Understanding the impacts of generative AI use on children. Work Package 1: Surveys

Recent advances in generative artificial intelligence (AI) are transforming how children interact with technology, particularly in education and creative domains...

Understanding the impacts of generative AI use on children. Work Package 1: Surveys

Publication

Understanding the impacts of generative AI use on children. Work Package 2: School-based Engagements

Generative AI is being rapidly deployed across a wide range of sectors and for diverse purposes. While children are the...

Understanding the impacts of generative AI use on children. Work Package 2: School-based Engagements

Publication

AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions

There is currently considerable excitement within government about the potential of artificial intelligence to improve public service productivity through the...

AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions

Publication

Generative AI is already widespread in the public sector

Generative AI has the potential to transform how public services are delivered by enhancing productivity and reducing time spent on...

Generative AI is already widespread in the public sector

Publication

Understanding engagement with platform safety technology for reducing exposure to online harms

User facing 'platform safety technology' encompasses an array of tools offered by platforms to help people protect themselves from harm...

Understanding engagement with platform safety technology for reducing exposure to online harms

Publication

A multidomain relational framework to guide institutional AI research and adoption

Calls for new metrics, technical standards and governance mechanisms to guide the adoption of Artificial Intelligence (AI) in institutions and...

A multidomain relational framework to guide institutional AI research and adoption

Publication

Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments

Aerial image data are becoming more widely available, and analysis techniques based on supervised learning are advancing their use in...

Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments

Publication

Artificial intelligence in government: Concepts, standards, and a unified framework

Recent advances in artificial intelligence (AI) and machine learning (ML) hold the promise of improving government. Given the advanced capabilities...

Artificial intelligence in government: Concepts, standards, and a unified framework

Publication

High-stakes team based public sector decision making and AI oversight

Oversight mechanisms, whereby the functioning and behaviour of AI systems are controlled to ensure that they are tuned to public...

High-stakes team based public sector decision making and AI oversight

Publication

Key challenges for the participatory governance of AI in public administration

As artificial intelligence (AI) becomes increasingly embedded in government operations, retaining democratic control over these technologies is becoming ever more...

Key challenges for the participatory governance of AI in public administration

Publication

Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery

Information on urban tree canopies is fundamental to mitigating climate change as well as improving quality of life. Urban tree...

Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery

Publication

Approaches to the algorithmic allocation of public resources: a cross-disciplinary review

Allocation of scarce resources is a recurring challenge for the public sector, emerging in areas as diverse as healthcare, disaster...

Approaches to the algorithmic allocation of public resources: a cross-disciplinary review

Projects

office workers

Automating bureaucracy

Leveraging generative AI to improve governmental productivity

Westminster

Estimating the potential of AI in government services

Quantifying transaction dynamics and estimating automation potential across UK government services

high rise buildings from above

Satellite and aerial imagery for government

Utilizing artificial intelligence to generate actionable insights about urban environments

stethoscope

Understanding use and impacts of perceptive, predictive, and generative AI systems in the public sector

Surveying public sector workers to understand their perceptions and experiences of actual use of AI systems within their respective domains.

high rise blocks

Algorithmic allocation of public resources

Exploring automation of resource allocation across multiple public sector domains.

sketch of paper tables

Developing a novel framework for institutional AI research and adoption

Conceptualising the use of AI in government using a novel typology and proposing a new framework for organizing concepts across fields

Children classifying cards on a mat

Understanding the impacts of generative AI use on children

Exploring how generative AI may impact children’s learning, play, and their day to day lives with important insights from children, parents, carers, and teachers.

Updates

Latest updates

  • Jonathan Bright featured on a panel on AI in Whitehall January 2024
  • Jonathan Bright featured on a panel on AI and Regulation as part of the World Economic Forum Strategic Intelligence Outlook December 2023
  • Youmna Hashem, John Francis, and Deborah Morgan presented a webinar on AI and bias as part of a series of talks hosted by the Centre for Digital Public Services December 2023
  • Jonathan Bright gave a talk on Using Language Models to Automate Bureaucratic Tasks in Government at the ONS Data Science Campus November 2023

 

Older updates

  • Jonathan Bright was appointed to be on the Children’s Social Care Data and Digital Expert Forum November 2023
  • Jonathan Bright spoke at the opening plenary of the Professional Standards Authority Research Conference November 2023
  • Deborah Morgan presented in person at Bangor University to the board and invited guests of the Welsh Government Centre for Digital Public Services November 2023
  • Members of the team presented research at the government's data conference DataConnect, on challenges and opportunities in AI for public services and assessing the potential for AI in government services September 2023
  • Deborah Morgan presented research on a multidomain relational framework to guide institutional AI research and adoption at the AAAI/ACM conference on AI Ethics and Society in Montreal August 2023
  • Jonathan Bright presented a Lunch & Learn to the Welsh Government Centre for Digital Public Services July 2023
  • Jonathan Bright gave an invited talk to the Department of Work & Pensions July 2023
  • Jonathan Bright gave a talk on using AI to improve local government to the Chartered Institute for Highways and Transport July 2023
  • Jonathan Bright presented a talk as part of the Department of Transport’s AI month June 2023
  • Jonathan Bright presented at the Ministry of Justice’s Digital Strategy Summit June 2023
  • Vincent Straub presented research on a multidomain relational framework to guide institutional AI research and adoption at the European Workshop on Algorithmic Fairness at ZHAW Zürcher Hochschule für Angewandte Wissenschaften June 2023
  • John Francis presented research on Estimating Chicago’s Tree Cover and Canopy Height using Multi-Spectral Imagery in a workshop on Tackling Climate Change with Machine Learning at NEURIPS November 2022
  • John Francis presented research on Estimating Chicago’s Tree Cover and Canopy Height using Multi-Spectral Imagery at UA 2.0 – Inequalities in the recovery of cities and regions November 2022

Researchers

jonathanbright

Dr Jonathan Bright

Head of AI for Public Services and Head of Online Safety
Saba Esnaashari

Saba Esnaashari

Data Scientist
John Francis Headshot

John Francis

Data Scientist
Youmna Hashem

Youmna Hashem

Researcher
Blank profile photo

Anton Poletaev

Data Scientist

Project management and support

Contact details

[email protected] 

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