When This Framework Is Needed

The Framework is designed for environments where AI use must withstand scrutiny — academic, research, regulatory, public, or mission-driven contexts.

Artificial intelligence increasingly influences real decisions.

When AI affects:

  • Teaching, learning, and assessment
  • Research design, analysis, or communication
  • Institutional governance and oversight
  • Public policy and civic decision-making
  • Professional and public-facing work


structured capability becomes essential.

AI capability determines whether decisions remain transparent, accountable, and defensible.



What the Framework Provides

The CloudPedagogy AI Capability Framework (2026 Edition) is a six-domain model for building durable human–AI capability across sectors.

It supports individuals, teams, and institutions to operationalise responsible human–AI practice by enabling them to:

  • Understand AI systems and their limitations
  • Design accountable human–AI collaboration
  • Use AI proportionately and responsibly
  • Embed ethics, equity, and impact awareness
  • Govern AI-influenced processes
  • Sustain reflection and continuous improvement


The Framework defines structured capability expectations across individual, team, and institutional levels.

It does not prescribe tools, vendors, or technologies.

It strengthens judgement.



Why Capability Matters

AI skill is about using tools.
AI capability is about exercising judgement.

Without structured capability, AI-supported work risks becoming opaque, inconsistent, ethically fragile, and difficult to defend under scrutiny.

Structured capability ensures that AI-supported practice remains transparent, accountable, ethically grounded, and adaptable as technologies evolve.

AI literacy is necessary.
Capability sustains responsible practice.



The Six Domains

The Framework is organised into six interdependent domains:

AI Awareness & Orientation
Understanding AI systems, limits, uncertainty, and context.

Human–AI Co-Agency
Collaborating with AI while retaining human responsibility and accountability.

Applied Practice & Innovation
Designing workflows where AI supports meaningful, proportionate outcomes.

Ethics, Equity & Impact
Anticipating harms, addressing bias, and safeguarding affected communities.

Decision-Making & Governance
Ensuring transparency, oversight, justification, and defensible practice.

Reflection, Learning & Renewal
Continuously reviewing and adapting AI-supported work as contexts evolve.

Together, these domains provide a structured pathway for responsible AI-supported practice.

The Framework serves as a reference model for structured, defensible AI-supported practice across professional contexts.



📥 Download the AI Capability Framework (PDF) 

Free, open, and citable

The professionally formatted AI Capability Framework (2026 Edition) is available under a CC BY-NC-SA 4.0 licence.

The PDF includes:

  • full domain definitions
  • developmental stage descriptors
  • applied examples
  • governance and reflective practice tools
  • guidance for institutional use


Version: 2026 Edition
Length: ~59 pages
Licence: CC BY-NC-SA 4.0



📦 Applying the Framework in Practice

The Framework is designed for operational use. It is intended to be embedded in teaching, research design, governance processes, and professional workflows.

It is supported by a coherent ecosystem of practical resources for real-world application, facilitation, and institutional adoption.



🎓 Free Orientation Course

The AI Capability Framework Orientation Course provides a structured introduction across sectors.

Participants explore the six domains, work through applied scenarios, and develop a personal capability action plan.

Free for all users.



📚 Framework-Based Courses

Short courses apply the Framework to specific professional contexts, including:

  • Equity, Inclusion & Social Justice
  • Policy & Governance
  • Creative & Cultural Practice
  • Global & Public Health
  • Humanitarian Crisis Response
  • Climate Change & Sustainability


These courses support early capability development prior to deeper applied work.




🔗 How to Cite the AI Capability Framework (2026 Edition)

The Framework is openly available under CC BY-NC-SA 4.0.

Preferred citation (concept DOI):
Wong, J. (2025). CloudPedagogy AI Capability Framework (2026 Edition). Zenodo.
https://doi.org/10.5281/zenodo.17833663

Version-specific citation (v1.2):
Wong, J. (2025). CloudPedagogy AI Capability Framework (2026 Edition) (v1.2). Zenodo.
https://doi.org/10.5281/zenodo.17873465


📜 Licence and Use

All Framework materials are licensed under:

Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International

You may share and adapt the materials for non-commercial use with attribution and share-alike.

For commercial licensing, institutional adoption, or consultancy enquiries:
[email protected]