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AI for Public Services
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Estimating the potential of AI in government services
Quantifying transaction dynamics and estimating automation potential across UK government services
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
Satellite and aerial imagery for government
Utilizing artificial intelligence to generate actionable insights about urban environments
Ethics & Responsible Innovation
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Human Rights, Democracy, and the Rule of Law Impact Assessment for AI Systems (HUDERIA)
A risk-based approach to assessing and mitigating adverse impacts developed for the Council of Europe’s Framework Convention
A socio-technical lens on foundation models
Mapping the risks, value chain and emerging governance initiatives
AI Ethics and Governance in Practice
A series of workbooks and an online platform to help the public sector apply AI ethics and safety to the design, development, and deployment of algorithmic systems.
Advancing data justice research and practice
Providing resources that help policymakers, practitioners, and impacted communities gain a broader understanding of data governance.
Developing a data charter with Camden Council
A project to co-develop a data charter that can help ensure the responsible use of citizen data
Process Based Governance in Action
A practical guide to ethical and responsible design, development, and deployment of Artificial Intelligence
Developing an ethical framework for explaining algorithmic decision-making
Explaining the processes, services, and decisions delivered by AI, in conjunction with the Information Commissioner’s Office
Ethical assurance of digital mental healthcare
A participatory approach to providing ethical assurance of data-driven technologies for mental healthcare
Ethics of machine learning in children's social care
Researching whether the use of machine learning in children's social care can be ethically justifiable and what that would require in practice
Building an ethical framework for data science and AI in the criminal justice system
A collaboration with the Ministry of Justice to build an ethics framework within the criminal justice system
Modelling for Policy
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Policy priority inference
Developing computational and network methods to advise governments on the policy priorities needed to reach socioeconomic development goals
Managing uncertainty in government modelling
Developing practical methods and tools for managing uncertainty in government modelling
Vote trading networks
Building network science and data science methods to uncover hidden cooperation in democratic institutions
Detecting Fringe Behaviour in Companies' Networks
Unearthing the patterns in company structures that are designed to disguise root ownership
Labour Flow Networks from the Bottom-Up
Analysing movements in the labour market to explore the future of work
Housing Market Dynamics
Developing tools and models to exploit newly available property, economic and demographic datasets.
Skill Sorting, Complementarities, and Productivity
Developing granular models explaining the movement of individuals within the labour market.
Skill Interaction and Complexity
Exploring how workplace skills interact and evolve through the labour market.
Quantifying Technological Sophistication
Providing policymakers with insights for industrial investment
International Trade Modelling
Using models to give policymakers insights into the potential outcomes of new trade agreements.
Tackling Health Inequalities
Creating a framework to assess the impact of financial interventions on health and socio-economic indicators.
Government & Media Behaviour
Disentangling how the media influences policymaking, and how policymakers influence the media
Online Safety
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Understanding Public Attitudes to AI
Understanding public awareness, experience and attitudes towards different uses of artificial intelligence
Measuring public attitudes, experiences and behaviours in online safety
A series of surveys designed to measure public attitudes, experiences and behaviours relating to key issues in online safety
The Online Harms Observatory
Providing real-time insight into the scope, prevalence and dynamics of online harms
Detecting and understanding harmful content online
Developing benchmarks and datasets for online harms researchers, and guidance for practitioners using tools to detect online harms
Harms arising from targeted online 'nudging'
Exploring what can be done to ensure that the influences of online ‘nudges’ do not become manipulative or harmful to vulnerable groups
Hate speech: measures and counter-measures
Measuring, analysing and countering online hate speech with advanced computational methods
Understanding abuse targeted towards public figures
Providing insight into the dynamics of abuse targeted at public figures online
The (mis)informed citizen
Using computational approaches to evaluate the quality of online news and studying its impacts
Building better AI classifiers for hate
Leveraging advances in artificial intelligence and data-centric methods to develop better models for detecting abuse and hate speech
Understanding and enhancing engagement with online safety interventions
Aiming to understand and enhance engagement with reporting hate speech and abuse online
Understanding synthetic data use in online safety
Helping practitioners understand how synthetic data can be used responsibly in an online safety context
AI Regulation & Standards
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Women in Data Science and AI
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More projects
Actionable insights from free text police data
Using topic modelling to identify specific crime modus operandi from police free text data
Computational models of police demand dynamics
Exploring how advanced simulation techniques might be used to increase understanding of demand for, and supply of, policing resources
Agent-based models of police resourcing and demand
Developing proof of concept models to unpick police supply and demand interactions
Developing an ethical framework for explaining algorithmic decision-making
Explaining the processes, services, and decisions delivered by AI, in conjunction with the Information Commissioner’s Office
Political volatility
Using techniques such as natural language processing to quantify trends and changes in the volatility of public opinion before and after widespread use of social media
Shocks and resilience
Measuring policy impact in the COVID-19 crisis and building resilience against future shocks
