- Ai Training for Professionals
From Technological Intimidation to Academic Self-Governance
Artificial Intelligence is changing the landscape of higher education.
The Ultimate Goal
“The future of education will not be defined by machines. It will be defined by how thoughtfully educators choose to guide them.”
Traditional Model
Emerging Model
The real question is no longer "Should we use AI?" but "How do we supervise AI responsibly while protecting academic standards?"
- Maintain Academic Authority
- Protect Assessment Integrity
- Uphold Institutional Credibility
The AI Confidence Approach
Hallucinating Intern
AI generates impressive language but can produce incorrect info. Critical supervision remains the human central requirement.
Editor-in-Chief
Faculty retain authority over accuracy, evidence, and academic integrity for all teaching materials.
The 60 / 40 Rule
Detection to Design
Programme Structure
6 Interactive Sessions – Combining conceptual understanding with practical application.
Session 1 — Understanding Artificial Intelligence
This session introduces the core concepts behind modern AI systems.
Participants learn how AI systems generate language and how to supervise their outputs responsibly.
Session 2 — The Academic Brief (FACULTY Framework)
Faculty learn how to communicate effectively with AI assistants through structured academic instructions.
The session introduces the *FACULTY framework*, which ensures that AI outputs remain aligned with teaching objectives.
This transforms prompting into a professional academic briefing process.
Session 3 — Hyper-Productivity and the 60 / 40 Rule
This session explores how AI can reduce administrative workload while preserving academic authority.
Faculty learn how to use AI as a *Sous-Chef*
Educators remain the *Head Chef*, responsible for judgement, standards, and final approval.
Session 4 — Prompting Mastery
Participants learn structured prompting techniques that improve the quality and reliability of AI outputs.
These frameworks allow faculty to generate clearer and more controlled AI outputs.
Session 5 — The Vulnerability Audit
Faculty examine their current assessment methods to identify where AI tools could bypass traditional tasks.
Participants conduct structured audits of assignments and learn how to redesign assessments where necessary.
Session 6 — Designing Resilient Assessments
The programme concludes with the *Two-Lane Assessment Strategy*.
This balanced model protects academic integrity while acknowledging the reality of AI-assisted work.
The Faculty AI Toolbox
- During the programme, faculty are introduced to several practical tools that support responsible AI use in teaching and research.
NotebookLM
for grounded synthesis from uploaded sources
MagicSchool.ai
for lesson preparation and rubric drafting
Microsoft Copilot
for meeting notes and administrative summarisation
Lovable
for prototyping ideas into simple applications
Programme Outcomes
- Supervise AI outputs responsibly and critically.
- Reduce admin workload while protecting judgement.
- Lead institutional discussions on AI governance.
- Design assessments resilient to AI misuse.
- Obtain a UK-recognised CPD Certificate.
- Guide students on responsible AI use.