Empowering voices: How co-production transforms public services
As public sector reforms move services closer to place, shift nearer to prevention and explore the use of new technologies, are you interested in the role people with Lived Experience and co-production could play in shaping the future?
Our latest report, developed in partnership with the National Expert Citizens Group (NECG), explores the transformative power of co-production and its vital role in creating equitable, accessible, and impactful public services.
What You'll Discover:
- Ten powerful lessons for successful co-production, drawn from the lived experiences of NECG members and best practices in public service design.
- Key principles for public services, crafted through the lens of individuals who have faced homelessness, substance misuse, domestic violence, and other challenges.
- Insights into the responsible use of AI in public services, ensuring equity, transparency, and human accountability in this new frontier.
"Meet Lynsey": A model for AI-driven public services, designed with lived experience at its core.
Download the report now and join the movement to build more inclusive and effective public services.
Meet Lindsey - our lived experience model of artificial intelligence
Key principles for consideration for GenAI powered public services
1. Lived and learnt experience needs to inform AI
As AI is designed, people with experience of disadvantage need to be engaged to make sure it works for all.
2. Caseworkers in the loop
If AI is making decisions, caseworkers with an understanding of client issues need to be able to adjust or overturn them.
3. Governance for the citizen
AI governance needs to be crafted to protect the citizen, not the institution.
4. Accountability must be human
The accountability for AI needs to be linked to a human so that people, not technology, are ultimately responsible.
5. AI should be trauma informed
Public services using AI should be able to retrieve a person's data so that they don't have to re-tell traumatic experiences.
6. Make AI for users and frontline workers
Government should not shy away from seizing the potential of AI, focusing on benefits for the service users and the frontline workers that support them.
7. AI should help eliminate, not amplify bias
People should have confidence that AI will remove and not replicate human assumptions.
8. AI should deliver faster, more accurate outcomes
A defining factor of AI's success should be that it makes decisions at greater speed with fewer errors than humans alone.
9. Data should be shared for citizen benefits
Government should share its data on citizens within, as long as it's for the benefit of services and their users.
10. Data matters
If citizen data is being used to make decisions, citizens should be able to see, and where appropriate, challenge what data points are being used.
