Dec '25 • Publishing
Use AI for graphs and infographics?
Doing novel research can be hard itself.
(But turning it into something people understand is even hard.)
AI makes that unfairly easy now.
Here’s what changes when you use AI to generate images, graphs, and infographics (the right way):
- You ship faster: draft → iterate → publish without getting stuck in PowerPoint purgatory.
- You explain better: one clean figure can replace 600 words nobody reads.
- You get remembered: strong visuals make your work easier to cite, share, and teach.
- You scale your output: one dataset becomes a chart, a slide, a poster panel, and a LinkedIn carousel.
But there’s a line you can’t cross.
The risks (and they’re real)
AI can “hallucinate” visuals — a pretty graphic can still be wrong.
You can accidentally mislead people if the image implies data you didn’t produce.
Copyright/licensing on generated images and training data can get messy fast.
As a rule of thumb:
- Use AI for speed and clarity.
- Never use it to invent evidence.
- Always disclose the use of AI (the image here was AI generated)
AI can help you communicate your science.
It cannot replace your scientific judgement.
Question: where would AI visuals help you most right now — papers, proposals, teaching, or LinkedIn?
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Use AI for graphs and infographics?
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