Definition
Generative AI is used to draft text, create images, music and video, and help with editing. It raises unresolved questions about copyright, the use of artists' work for training, disclosure, and the effect on creative jobs.
In simple words
You can now say "a watercolour of Mumbai in the rain" and get a picture in seconds. It's a powerful tool, and the people whose work trained it are asking fair questions about credit and pay.
Why it matters
Many jobs now touch these tools. Using them well, and honestly, means knowing their limits and the legal questions, which are still being decided in courts around the world.
How it works
- Good for: first drafts, ideas, variations, and tedious edits.
- Weak at: original judgement, exact facts, and a truly personal voice.
- Check the licence terms before using output commercially.
- Say so where disclosure is expected or required.
Try it yourself
Making a poster with AI
Follow a designer from idea to the finished poster. Note who does what.
Where does AI help, and where is it weak?
You are making a short film. Sort each job by how well generative AI does it.
A first draft of the story
Deciding what the film is really trying to say
Cleaning background noise and other tedious edits
Exact facts about a real historical event in the film
A truly personal voice, from your own life
Ten different poster ideas
Common mistakes
- Publishing AI text with no checking. It can contain errors or close copies.
- Copying a living artist's style commercially without thinking about the ethics and the risk.
Check yourself
Summary
- Great for drafts and variations.
- Copyright and credit are still unsettled.
- You remain responsible for what you publish.
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