This interdisciplinary workshop explores the application of causal artificial intelligence (AI) to address real-world challenges in primary care. Designed for clinicians, researchers, and policymakers, the event aims to co-create interpretable AI frameworks—such as causal graphs and validation methodologies—that can support equitable, efficient, and evidence-based decision-making in healthcare. Through hands-on sessions and policy roundtables, participants will collaboratively identify high-impact use cases, develop prototype tools, and outline actionable policy recommendations.

The workshop aligns with CHAI Hub’s goals of explainable AI, real-world relevance, and scalability across the NHS.