By the end of this lesson you can
- Use AI tools to speed up parts of the design process.
- Recognise where AI tools fail or mislead.
- Apply responsible practices for privacy, bias and accuracy.
The idea
AI tools can generate text, images, layouts, code and summaries. Used carefully, they speed up some tasks; used carelessly, they produce confident nonsense.
Useful applications
- Drafting interview guides, survey questions or test scripts for you to edit.
- Generating many rough ideas or copy variations quickly.
- Creating realistic placeholder content.
- Helping with first-pass coding of qualitative data, which you then check.
- Turning sketches into rough prototypes.
Limitations
- Not real users: AI can imitate opinions but cannot replace research with real people.
- Confident errors: summaries may invent quotes or miss key points.
- Generic output: designs often look average and ignore your context and constraints.
- Bias: outputs can reflect stereotypes in training data.
Responsible practice
Do not paste personal or confidential data into tools without approval. Check every output against sources. Be transparent with your team about AI use, and keep human judgement in charge of decisions.
Why it matters in real projects
AI tools are becoming part of everyday design work, and designers who use them well can move faster on routine tasks. Knowing their limits protects your work from errors, bias and privacy breaches. Above all, design still depends on understanding real people, which no tool can do for you.
A realistic example
A designer uses an AI tool to summarise twelve interview transcripts. The summary says "most participants wanted a dark mode". Checking the transcripts, the designer finds only one person mentioned it. They use the AI summary only as a starting point, code the transcripts themselves and note that AI-generated summaries must always be verified.
Step by step
Choose tasks
Pick routine tasks where speed helps.
Check policies
Confirm what data can be used with which tools.
Prompt clearly
Give context, constraints and format.
Verify
Check outputs against sources.
Check for bias
Review outputs for stereotypes and gaps.
Document use
Tell the team where AI was used.
Common mistakes
Mistake Replacing user research with AI personas.
Instead Research with real people.
Mistake Trusting summaries without checking.
Instead Verify against the source.
Mistake Pasting personal data into tools.
Instead Follow data policies and anonymise.
Check your understanding
Choose an answer, then check it. There is an explanation either way.
Practice exercise
Exercise · about 45 min
AI experiment
Test an AI tool on a design task.
Steps
- Pick a task such as drafting a usability test script.
- Use an AI tool to create a first draft.
- Review and correct it, noting errors.
- Write guidelines for when to use AI in this task.
Deliverable
An edited draft and a short guideline.
Self-assessment
Tick each item when it is true of your exercise. Be honest; this is for you.
4 items
Summary
- AI can speed up routine design tasks.
- It cannot replace real users or judgement.
- Verify outputs and check for bias.
- Protect data and be transparent.
Further reading
Third-party sources, chosen for reliability. They open in a new tab.
- AI-driven design (opens in a new tab)Interaction Design Foundation
- People + AI Guidebook (opens in a new tab)Google PAIR
Your notes
Marking complete updates your course and roadmap progress.