A practical, governance-credible scenario library for applying the CloudPedagogy AI Capability Framework (2026 Edition) in real professional contexts.
This repository translates the Framework from a conceptual reference model into actionable, context-sensitive practice across education, research, leadership, governance, public service, and knowledge-intensive work.
This Scenario Library exists to address a persistent gap in AI guidance:
What does responsible, human-centred AI use actually look like in everyday professional situations?
Rather than offering abstract principles, tool tutorials, or policy statements, this repository provides structured, facilitation-ready scenarios that can be:
- used directly in workshops, meetings, and training
- adapted to local policy, culture, and sector context
- embedded into curriculum, CPD, governance, and assurance processes
Each scenario focuses on how people think, decide, and exercise judgement when AI is present — not simply how tools are used.
Each scenario is a contextual guide focused on a specific professional situation (for example: assessment design, incident response, curriculum workshops, public consultation, or research analysis).
Every scenario:
- follows a consistent structure
- explicitly applies all six domains of the AI Capability Framework
- treats AI as a support for human judgement, not a substitute
- foregrounds ethics, equity, accountability, and learning
Scenarios are written to be:
- realistic and recognisable
- institution-ready
- usable by non-technical professionals
These scenarios are not:
- tool tutorials or prompt collections
- technical AI implementation guides
- organisational policy documents
- generic “best practice” checklists
They are designed to sit between policy and practice, supporting defensible action in real situations where judgement matters.
All scenarios apply the CloudPedagogy AI Capability Framework (2026 Edition) across six domains:
- Awareness — understanding context, purpose, and risk
- Human–AI Co-Agency — clear roles and responsibility
- Applied Practice — appropriate, proportionate use
- Ethics, Equity & Impact — consequences and inclusion
- Decision-Making & Governance — accountability and oversight
- Reflection, Learning & Renewal — continuous improvement
The Framework functions as the canonical reference model.
Scenarios demonstrate how it operates in practice.
Scenarios supporting ethical, fair, and defensible hiring practices:
- role design and scoping
- interview preparation
- candidate evaluation
- post-interview reflection
Scenarios for everyday collaborative work where AI may shape discussion and decisions:
- meeting preparation
- live meeting support
- decision capture
- follow-up and action
Scenarios for high-accountability and oversight contexts:
- risk review meetings
- ethics and approval panels
- policy drafting sessions
- accountability checkpoints
Scenarios addressing uncertainty, trade-offs, and organisational direction:
- strategy awaydays
- change management meetings
- prioritisation and trade-offs
- sensemaking under uncertainty
Scenarios supporting AI-aware learning design and educational practice:
- curriculum design workshops
- CPD and training sessions
- student-facing activities
- reflective debriefs
Scenarios focused on legitimacy, defensibility, and academic or professional standards:
- assessment design and validation
- marking, moderation, and calibration
- external examining and review
- academic integrity review panels
- quality assurance decision points
Scenarios supporting responsible AI use across the research lifecycle:
- project planning
- grant writing meetings
- analysis and interpretation
- dissemination and communication
Scenarios addressing how AI-mediated evidence informs decisions:
- dashboard interpretation and reporting
- evidence synthesis for decision-making
- KPI review and performance narratives
- predictive insight and early warning systems
- translating data into action
Scenarios for ethically sensitive, care-adjacent AI use:
- academic advising conversations
- personal tutoring and progress review
- AI-supported guidance systems
- escalation and safeguarding boundaries
- supporting students in distress
Scenarios exploring how AI reshapes expertise, roles, and accountability:
- redefining expertise with AI
- boundary setting between human and AI work
- professional accountability in AI-augmented roles
- career progression and capability signalling
- loss, displacement, and role anxiety
Scenarios for high-pressure, time-critical situations:
- incident response and AI use
- crisis communications and AI drafting
- reputational risk assessment
- business continuity and scenario stress-testing
- post-incident review and learning
Scenarios supporting transparent, legitimate AI use affecting the public:
- policy consultation and public submissions
- impact assessment and regulatory advice
- public communication of AI-informed decisions
- algorithmic decision appeals and redress
- cross-agency coordination and AI use
Scenarios exploring emerging AI use in immersive environments:
- immersive simulation and virtual reality
- AI-driven virtual agents and roleplay
- immersive assessment and performance simulation
- ethical boundaries in immersive experiences
- accessibility and inclusion in XR learning
A recommended usage pattern:
- Select a scenario aligned to your context
- Adapt language, examples, and prompts to local needs
- Use the structure to facilitate discussion or design work
- Capture learning using the reflection sections
- Iterate and version your adapted scenario
Scenarios may be used as:
- workshop facilitation guides
- staff development and CPD resources
- curriculum and assessment design scaffolding
- governance, assurance, and audit artefacts
This repository complements (but does not duplicate):
- the AI Capability Framework (canonical reference model)
- the AI Capability Briefs repository (conceptual topic explainers)
- CloudPedagogy courses, handbooks, and toolkits
Briefs explain what and why.
Scenarios show how.
This repository is licensed under the Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0) licence.
You may:
- Use, share, and adapt this work for educational, research, and public-interest purposes
- Do so with appropriate attribution
- Share adaptations under the same licence
You may not:
- Use this work for commercial purposes
- Resell, sublicense, or incorporate it into paid products, services, or platforms without explicit permission
Full licence text: https://creativecommons.org/licenses/by-nc-sa/4.0/
CloudPedagogy develops open, governance-credible resources for building confident, responsible AI capability across education, research, and public service.