Artificial intelligence is showing up wherever we look – in writing tools, team communication, learning systems and more. Many teams are running to catch up with AI adoption in their organisation. But for many people, one thing still gets in the way of using it well: the language. From “machine learning models” to “context windows” and “temperature settings,” the jargon can be a real barrier, leading to missed opportunities for those who could benefit greatly from incorporating AI into their tasks and pursuits.
And, with AI predicted to advance even further over the coming months and years, now is the time to get a handle on it.
Enter The Non-Techie AI Glossary… your go-to resource for cutting through the buzzwords, breaking down the basics, and building your team’s AI confidence.
De-mystifying AI jargon
Let’s face it: learning about AI can feel overwhelming. The terminology alone can stop someone from even trying a new tool. But once your team understands what a “prompt” actually is – or why “hallucinations” aren’t as sci-fi as they sound – they can start to engage more actively and use AI tools more strategically.
This AI glossary is designed to:
- Demystify common AI terms with clear, plain-English definitions.
- Clarify confusing concepts like inference, temperature, and context windows.
- Correct common myths (AI does not “know everything”… and that matters!).
- Encourage experimentation with practical tips and relatable analogies.
- Support self-led learning and boost digital confidence across your organisation.
We’ve designed this resource as a solid starting point for those approaching AI. You can use it to supplement internal training or onboarding programmes, as well as sparking more confident, informed conversations around technology in team meetings – reducing hesitation and helping everyone feel included.
Download your free copy of the AI glossary using the link below!
P.S. Want to go beyond the glossary?
We also offer an AI Essentials for Absolute Beginners workshop that turns curiosity into capability. Teams leave with hands-on experience, real-time feedback, and a fresh sense of possibility.
