Case Studies
Explore real-world examples of assurance cases across different domains. These case studies demonstrate how the TEA methodology can be applied to various AI and data-driven systems.
Available Case Studies
Healthcare
- Diabetic Retinopathy Screening - An AI system for detecting diabetic retinopathy in retinal images
Agriculture
- Crop Damage Assessment - Using satellite imagery and ML for agricultural damage assessment
Environmental
- Flood Risk Assessment - AI-powered flood risk prediction and management
Education
- Student Learning Assessment - AI systems for educational assessment and feedback
How to Use These Case Studies
Each case study includes:
- Context - Background on the domain and system
- Assurance Case Structure - The complete argument structure
- Evidence Examples - Types of evidence used
- Discussion Questions - Points for reflection and learning
These case studies can be used for:
- Self-study - Work through examples at your own pace
- Workshops - Group activities and discussions
- Templates - Starting points for your own cases