Architecting for Autonomy - A Federated and Explainable AI Blueprint for UK Public Services

Explore a comprehensive blueprint for implementing federated and explainable AI systems within UK public services through this 14-minute conference talk. Discover how to architect autonomous AI solutions that maintain transparency and accountability while operating across distributed government networks. Learn about the technical challenges and opportunities in deploying federated learning frameworks that preserve data privacy and sovereignty across different public sector organizations. Examine practical approaches to building explainable AI systems that can provide clear reasoning for their decisions, essential for public trust and regulatory compliance. Understand the strategic considerations for creating AI infrastructure that balances autonomy with human oversight, ensuring that automated systems can operate effectively while remaining interpretable to stakeholders. Gain insights into the specific requirements and constraints of public sector AI deployment, including security protocols, data governance, and ethical considerations that shape the design of these systems.