Lesson 3, AI Foundations Module
We mapped the AI capability spectrum, identifying where AI truly shines versus where human judgment remains irreplaceable. AI excels at pattern-based work (summarizing documents, drafting emails), data-heavy tasks (analyzing spreadsheets, finding trends), and repetitive processes (formatting content, generating variations). But it struggles with judgment calls requiring organizational context, specialized expertise about your specific company, situations requiring emotional intelligence, and accuracy on precise details.
The session introduced the augmentation mindset: thinking of AI as a tireless research assistant who does the initial legwork, getting you to 70% – not as an autonomous decision-maker. We established a five-step human-AI collaboration workflow (Define → Draft → Refine → Validate →Deliver) and identified critical checkpoints where human oversight is essential: high-stakes decisions, accuracy-critical content, sensitive situations, and creative strategy. The homework challenged participants to document a real work task where they deliberately collaborated with AI, tracking what worked, what needed changing, and whether the partnership saved time.
This post is part of the Cambridge AI Lunch & Learn series, a 24-week upskilling programme designed to transform participants from AI curious to AI confident. Through bite-sized
30-minute weekly sessions, we’re building practical AI literacy across Cambridge University Press & Assessment, equipping our team with the skills to work effectively and ethically with artificial intelligence.
Each session follows a proven learn-by-doing approach: 10 minutes of instruction, 10 minutes of demonstration, and 10 minutes of hands-on practice. This isn’t about becoming AI experts but rather it’s about understanding how to augment our work, make better decisions, and navigate the evolving landscape of AI tools with confidence and responsibility.
Deepen Your AI Understanding
- Introduction to AI & Machine Learning – Foundational concepts
- Understanding Large Language Models – How ChatGPT and similar systems work
- AI Ethics and Responsible Use – Working with AI responsibly
- The Role of AI in the Classroom – Practical classroom applications