AI Foundations · Page 13 of 57

What Is Artificial Intelligence?

Learn to distinguish AI, automation, machine learning and generative AI.

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What you will learn

1. Explain how what is artificial intelligence? fits into safe, practical AI use

Use this outcome directly on the page activity and record the evidence in your learning journal.

2. Apply distinguish AI, automation, machine learning and generative AI

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 What Is Artificial Intelligence? 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 distinguish AI, automation, machine learning and generative AI.
Step 4. Check the result for accuracy, privacy, clarity, fairness and usefulness.
Step 5. Complete this activity: List three tools you use and decide whether each uses rules, automation or AI.
Safe and responsible practice: AI output can sound confident and still be wrong. Treat it as a draft until you have checked important claims.

Practical activity

Complete and record this task

List three tools you use and decide whether each uses rules, automation or AI.

Good-practice checklist

Name the task before choosing a tool
Use safe sample information
Notice uncertainty and limitations
Keep a human responsible
Complete the practical activity for what is artificial intelligence?
Record what changed after review
Check the result on a mobile device
Ask a qualified person when consequences are significant

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