1. Explain how glossary fits into safe, practical AI use
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Academy Essentials · Page 10 of 57
Glossary
Learn to recognise essential AI terms without relying on unexplained jargon.
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What you will learn
2. Apply recognise essential AI terms without relying on unexplained jargon
Use this outcome directly on the page activity and record the evidence in your learning journal.
3. Recognise the main quality or safety risk in this topic
Use this outcome directly on the page activity and record the evidence in your learning journal.
4. Record evidence of a checked and useful result
Use this outcome directly on the page activity and record the evidence in your learning journal.
Step-by-step practice
Step 1. Read the purpose of Glossary and identify the result you need.
Step 2. Prepare a harmless example, approved source or fictional data set.
Step 3. Apply the page method to recognise essential AI terms without relying on unexplained jargon.
Step 4. Check the result for accuracy, privacy, clarity, fairness and usefulness.
Step 5. Complete this activity: Choose five glossary terms and explain each one in your own words.
Safe and responsible practice: Use sample information while learning. Keep passwords, private records and confidential material out of course exercises.
Practical activity
Complete and record this task
Choose five glossary terms and explain each one in your own words.
Good-practice checklist
Know where this page fits
Use Course Home and Student Dashboard controls
Keep a simple learning journal
Practise in short sessions
Complete the practical activity for glossary
Record what changed after review
Check the result on a mobile device
Ask a qualified person when consequences are significant
Essential AI glossary
Artificial intelligence
Computer systems that perform tasks associated with human intelligence, such as recognising patterns or generating content.
Automation
A process that completes repeatable steps with limited manual action.
Bias
A systematic tendency that may lead to unfair, incomplete or distorted results.
Context
Background information that helps an AI system interpret a request.
Deepfake
Synthetic or altered media designed to look or sound like a real person or event.
Generative AI
AI that creates new text, images, audio, video or code from instructions and learned patterns.
Hallucination
A fluent but incorrect or unsupported AI output.
Large language model
A model trained on large collections of text to predict and generate language.
Model
A trained computational system that produces predictions or outputs.
Prompt
The instruction and context given to an AI system.
Token
A small unit of text processed by a language model.
Verification
Checking an output against reliable evidence or an independent calculation.
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