Issued 4 July 2025
- Designing trauma-aware and inclusive AI models - Adapting AI and data governance frameworks in sensitive contexts and environments - Applying RAG (Retrieval Augmented Generation) for verified responses - Building real-world insight loops from AI interactions to inform and drive service improvements - Collaborative co-creation and stakeholder engagement - Translating complex data into emotionally supportive guidance - Building emotionally safe and user-centric digital experiences - Balancing lived experience and technical strategy in AI projects
Having completed this session, you will be equipped with the skills and knowledge to: - Understand how AI can be safely and ethically applied in trauma-led environments - Learn how anonymised insights can support systemic change and better planning - See a real-world case study (Ella Support Loop) in using AI for good in SEND - Explore how to balance emotional safety, lived experience and data governance in AI design - Identify how data professionals can contribute to fixing complex systems with inclusive AI models
This is your permanent, verifiable record of achievement.
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