Resources
Reading notes, local support links and other useful material gathered during the fellowship.
How the site is organised
The site uses three practical resource types: guidance, training and materials. Subtypes such as decision tools, case studies, literature notes and Cambridge links are handled with tags.
Guidance
Principles, recommendations and practical boundaries for responsible generative AI use.
Training
Workshops, case studies and teaching resources intended for reuse.
Materials
Reading notes, Cambridge links and other useful material gathered during the fellowship.
Transparency rules
- Draft and reviewed content are visibly distinct.
- Every resource carries explicit metadata.
- Contributions enter through GitHub issues so suggestions remain traceable.
- Literature notes should explain relevance, not just store citations.