AI Foundations · Page 19 of 57

Strengths and Limitations

Learn to recognise when AI is useful and when human expertise or current evidence is required.

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What you will learn

1. Explain how strengths and limitations fits into safe, practical AI use

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

2. Apply recognise when AI is useful and when human expertise or current evidence is required

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 Strengths and Limitations 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 when AI is useful and when human expertise or current evidence is required.
Step 4. Check the result for accuracy, privacy, clarity, fairness and usefulness.
Step 5. Complete this activity: Sort six tasks into AI helpful, AI plus human review, or human specialist required.
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

Sort six tasks into AI helpful, AI plus human review, or human specialist required.

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 strengths and limitations
Record what changed after review
Check the result on a mobile device
Ask a qualified person when consequences are significant

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