Open-source AI solutions for UK public services
Developing transparent, secure, and effective AI systems that serve the public interest. These concepts demonstrate how open-source AI can address real government challenges while maintaining the highest standards of privacy, security, and accountability.
Problem: Fragmented assessment processes between NHS and local authority services create delays and gaps
Solution: Open-source AI system supporting assessment across health and social care boundaries
Status: Concept based on direct cross-system experience
Problem: Local authorities struggle to efficiently allocate care resources under budget constraints
Solution: AI-powered matching system for care needs and available services
Status: Framework developed, seeking pilot partners
Problem: 13.9 million disabled people in UK face barriers accessing digital government services
Solution: AI accessibility layer for gov.uk services with real-time adaptation
Status: Prototype architecture designed
All concepts adhere to:
- On-device processing where possible
- End-to-end encryption for data transmission
- Zero-trust architecture principles
- Regular security audits and penetration testing
- Open-source algorithms for public scrutiny
- Audit trails for all AI decisions
- Explainable AI outputs for human oversight
- Clear governance and accountability frameworks
- Data minimization principles
- Pseudonymization and anonymization techniques
- GDPR compliance built-in from day one
- User consent and data control mechanisms
- Designed for diverse user capabilities
- Multi-language support
- Low-bandwidth and offline capabilities
- Cultural sensitivity and bias mitigation
- LLM Base: Llama 2/3, Mistral, or other open-source models
- Framework: Python, FastAPI, Docker containerization
- Database: PostgreSQL with encryption at rest
- Deployment: Kubernetes for scalability
- Monitoring: Prometheus, Grafana for system health
- NHS: FHIR-compliant for healthcare interoperability
- Gov.uk: GDS design system and service standards
- Local Government: Integration with existing social care systems
- Security: Cyber Essentials Plus compliance minimum
- Develop minimum viable product
- Technical feasibility validation
- Initial user testing with stakeholders
- Security and privacy assessment
- Limited deployment with 1-2 partner organizations
- Real-world testing and iteration
- Staff training and change management
- Performance monitoring and optimization
- Full source code release under open license
- Documentation and deployment guides
- Community engagement and contribution framework
- Multi-organization rollout support
- Public roadmap and issue tracking
- Community contribution guidelines
- Regular stakeholder feedback sessions
- Cross-government working groups
- Technical documentation and best practices
- Implementation case studies
- Training materials and workshops
- Research publication and conference presentations
- Reduced waiting times for public services
- Improved user satisfaction scores
- Cost savings through efficiency gains
- Increased accessibility and inclusion
- System uptime and reliability (99.9% target)
- Security incident response times
- Code quality and test coverage
- Community engagement and contributions
- Democratic transparency through open source
- Reduced vendor lock-in and technology dependence
- Skills development within government teams
- Innovation catalyst for broader public sector
| Concept | Development Stage | Partners | Timeline |
|---|---|---|---|
| NHS Digital Therapy | Technical design complete | Seeking NHS trust partners | Ready for pilot |
| Social Care Optimization | Framework developed | In discussion with councils | 6 months to pilot |
| Accessible Gov Services | Architecture designed | GDS interest expressed | 12 months to pilot |
- Partnership Development: Engage with government departments for pilot projects
- Technical Validation: Build prototypes for user testing and feedback
- Community Building: Establish developer and user communities around each concept
- Policy Integration: Work with policy teams to embed AI governance frameworks
Contact: Available for collaboration with government departments, NHS trusts, local authorities, and other public service organizations committed to ethical AI innovation.
Vision: A future where AI serves every citizen transparently, securely, and effectively through open-source innovation.