AI Capability Resources
Authoritative materials extending the AI Capability Framework across governance, research, education, and public decision-making.
The AI Capability Framework defines structured expectations for responsible human–AI practice.
This Resources section brings together applied and conceptual materials that extend the Framework into real professional contexts across:
These resources support structured judgement, defensible decision-making, and long-term capability development in environments where AI influences real outcomes.
They are not toolkits.
They are not compliance instruments.
They are guides for responsible practice.
Role-specific guidance for confident and defensible AI use
AI Capability Briefs are concise, professionally written resources designed to help people understand their responsibility when AI becomes part of their work.
Each brief:
Briefs are used by:
🔗 Explore the AI Capability Briefs repository
https://github.com/cloudpedagogy/cloudpedagogy-ai-capability-briefs
Facilitation-ready professional situations
The Scenario Library translates the Framework into structured, realistic professional contexts.
Rather than offering generic “best practice” checklists, scenarios explore:
Scenarios are used in:
They are written for non-technical professionals and support structured discussion without prescribing outcomes.
🔗 Explore the Scenario Library repository
https://github.com/cloudpedagogy/cloudpedagogy-ai-capability-scenarios
Long-form exploration of AI capability, ethics, and institutional responsibility
The CloudPedagogy Books Collection provides sustained conceptual and applied exploration of:
These open-access texts deepen understanding and support long-term capability growth across sectors.
🔗 Explore the CloudPedagogy Books repository
https://github.com/cloudpedagogy/cloudpedagogy-books
The ecosystem is intentionally structured:
The AI Capability Framework defines expectations.
The Applications operationalise capability.
The Briefs and Scenarios interpret and apply it in context.
The Books provide deeper conceptual grounding.
Together, they support responsible AI practice without centralising control or automating judgement.
All repositories are licensed under Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0).
They may be used and adapted for educational, research, and public-interest purposes with attribution and share-alike.
Commercial use requires permission.