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Semi-Finalists

The eight Semi-Finalists were chosen by the Judging Panel in a two-hour meeting on 24 February. Commenting on the meeting, Judging Panel Chair David Filmer, Head of Public Sector at NTT DATA UK&I, said: “It was incredibly difficult to pick the eight most promising ideas. The quality of submissions was really excellent, demonstrating civil servants’ extraordinary inventiveness, expertise and commitment.

“The submissions also revealed civil servants’ enthusiasm and ambition about the potential of AI technologies: the emergence of large language models has opened up huge opportunities to improve public services, save taxpayers’ money and strengthen public servants’ tools across a wide variety of roles, activities and agendas.”

The eight Semi-Finalists are as follows:

Casework compliance assistant, submitted by Marlon from Department for Work and Pensions

Casework compliance assistant 
AI guidance and support with data analysis, verification and processing for DWP benefits teams

Marlon Woodley, CFCD Verification Assurance Officer, Department for Work and Pensions

Codified digital solution assurance submitted by Kelcey from Cabinet Office

Codified digital solution assurance
Tackling fragmentation, complexity and duplication in assurance processes with a cross-government rules engine

Kelcey Swain, Data Foundations for AI Lead, Cabinet Office

Fraudulent document detection, Submission by Eric from HM Revenue & Customs

Fraudulent document detection
AI verification service to identify documentation that has been tampered with or falsified

Eric Edward, Trainee Tax Specialist, HM Revenue & Customs

Offshore wind adaptation to protect wildlife, submission by Sabrina from Ministry of Housing, Communities & Local Government

Offshore wind adaptation to protect wildlife
Using cameras and AI to safeguard protected birds approaching wind turbine arrays

Sabrina Schalz, NSIP Ecologist, Ministry of Housing, Communities & Local Government

Real-time weather event impact intelligence, submission by Robert from Environment Agency

Real-time weather event impact intelligence
Using data from government and open sources to track flooding and other extreme weather

Robert Cowling, Senior Hydrometeorologist, Environment Agency

AI for capability discovery, submission by Mark from Ministry of Defence

AI for capability discovery
Using AI to scale advanced analysis of complex open data for early capability insights

Mark, Ministry of Defence

FOI request assistant, submission by Matthew from Department for Energy Security & Net Zero

FOI request assistant
Multi-agent AI to aid triage, costing, data-gathering, and response drafting for Freedom of Information requests

Matthew Pickering, Stakeholder Engagement Lead, Department for Energy Security & Net Zero

Virtual personas for policy testing, submission by Amish and Kiyoshi from Department for Energy Security & Net Zero and George from Foreign, Commonwealth and Development Office

Virtual personas for policy testing
Creation of AI personalities to explore the views and reactions of various demographics

Amish Sarpotdar, Economic Adviser, Department for Energy Security & Net Zero, Kiyoshi Bhuiyan, Principal Social Researcher, Social and Behavioural Energy Research, Department for Energy Security & Net Zero; and George Griffiths, Data Scientist, FCDO