• Understand the current AI landscape in the UK public sector, key opportunities, trends, and challenges for local and central government 
• Discuss how government and industry can collaborate effectively to drive innovation while maintaining trust, security, and accountability 
• Explore future priorities and actionable insights for leaders tasked with implementing AI solutions that are both transformative and sustainable

• Building In-House Capability: Shifting from consultant dependency to institutional ownership through vendor-agnostic engineering, robust skills pipelines, and sustainable governance
• Frontline Implementation Lessons: Practical insights on overcoming procurement hurdles, security bottlenecks, and the realities of scaling "AI Playbook" guidance
• Designing Agentic AI: Methods for identifying high-value use cases and building human-in-the-loop systems that align with UK digital standards and maintain accountability

• Errors already happen in public services, not because people do not care, but because they work in complex systems under pressure. AI does not remove that risk. It changes its shape, making mistakes faster and harder to spot if we are not careful. We focus on how to reduce administrative burden without losing professional judgement or control. We share practical methods delivery teams can apply immediately, focused on accountability, transparency, and designing systems that stay safe, contestable, and kind when things go wrong. 

• Examine the current AI adoption landscape across UK government departments
• Explore the Government Office for Science’s research into evaluating AI models and tools

• Learn how the Met Office responded to the AI Revolution and rapidly stood up a Change Programme: AI4Everyone
• Hear how AI is embedding in weather forecasting and climate modelling
• Understand how AI is being harnessed to support innovation in products and service so that the Met Office deliver ‘the most trusted weather and climate intelligence in a radically changing world’
• Questions and answers

Telling the story so far of the Defra AI Capabilities and Enablement team, including:

• Rolling out "AI enabled delivery" across multiple teams as part of a pilot program
• Providing a reusable capability for teams to build AI enabled products on the Core Delivery Platform
• The practicalities and challenges around implementation, and lessons learned to date

• Explore what it takes to prepare government bodies for effective, responsible, and sustainable adoption of digital and AI technologies
• Outline the foundational capabilities government organisations need to develop, the cultural and leadership shifts required, and the practical steps to ensure AI delivers measurable value while maintaining public trust
• Questions and answers

• Understand how algorithms process data probabilistically and the implications for accuracy, confidence levels, and error margins 
• Discuss the risks of misinterpretation, bias, and misinformation when probabilistic outputs are presented as factual or deterministic 
• Listen to case studies showing how probability must be understood and communicated in decision-making 
• Explore practical strategies for leaders to build literacy in AI probability, ensuring responsible use of AI in public services 
• Questions and answers

• Explore how the Department for Business and Trade is using AI and data-driven systems to streamline services, enhance user experience, and improve decision-making
• Understand the role of AI in enabling smarter trade policy, regulatory compliance, and digital service delivery across the UK and international markets
• Learn how strong leadership, digital capability building, and collaboration are key to embedding AI responsibly across government systems
• Questions and answers

• Examine how partnerships between government, academia, and industry are accelerating the development and deployment of robotics and embodied intelligence to tackle complex, high-stakes challenges
• Explore how collaborative leadership and innovation ecosystems like RAICo are bridging research and real-world application across sectors
• Questions and answers

• Understand the current levels of AI and data literacy across government and the barriers to adoption 
• Explore practical approaches to upskilling civil servants, policymakers, and frontline staff to confidently use AI 
• Embed continuous learning and skills development to ensure sustainable, responsible AI adoption in the public sector 
• Questions and answers

• Explore the evolving risks and responsibilities associated with AI deployment across government systems, and examine where current governance gaps exist
• Assess how we can measure and manage AI-related risks, drawing on established health and safety constructs to build safeguards that protect individuals and maintain public trust
• Discuss how to strike a healthy balance between innovation and accountability, ensuring that AI serves the public good while upholding ethical and legal standards
• Questions and answers

*programme subject to change without notice