Lesson 4 of 7 · about 12 minutes
AI-Generated Images: Illustration, Never Evidence
You'll be able to
- Decide whether an AI image is acceptable for a given use
- Write a clear disclosure label and caption for an AI illustration
- Choose between 1024x1024, 1080x1920 and 1920x1080 in ImageStudio
- Explain the U.S. Copyright Office position on purely AI-generated images
An AI image can show an idea. It cannot show a fact. Keep those two jobs apart and you will rarely get into trouble.
A text-to-image tool makes a picture of what a prompt describes, built from patterns in its training. Nothing in that picture happened. No camera was in the room. So the moment an AI image is used to suggest "this is what it looked like," it becomes fabrication, however good the intentions.
When AI images are fine
AI images work well where an editor would otherwise commission a drawing or use a stock graphic:
- Explainers. A stylized picture of water moving through a treatment plant, for a piece on why rates are rising.
- Concepts with no real scene. "A town's budget pulled in four directions." There is nothing to photograph.
- Opinion and essay art. A commentary piece on a road bond can carry an illustrated header, the way a magazine column carries a drawing.
- Promotion. A graphic announcing your podcast episode or a community forum.
In every case the image is plainly an illustration and the article never implies otherwise.
A style choice helps. Illustrations that look like illustrations (flat color, painterly texture, cut paper, line art) are harder to mistake for photos than photorealistic output. If you want readers to understand at a glance that a picture is art, make it look like art.
When they are not
That rules out:
- "What the flood looked like," made because you did not get a photo.
- A realistic image of a named official, candidate or resident in any situation.
- Reconstructions of incidents presented as anything but reconstructions.
- "Enhancing" a real photo with AI fill so that new objects or people appear in it.
- Generated "documents," letterheads or screenshots.
The professional codes line up on this. The SPJ Code of Ethics tells journalists to never publish fabricated content that could be confused with reality and to clearly label illustrations and reenactments. The NPPA Code of Ethics says editing should maintain the integrity of a photo's content and context. A generated picture of a real event fails both tests before you even look at it.
There is also a self-interest reason. The fastest way to destroy a true story is to put one fake image in it. Opponents will ignore your 14 verified records and spend a week on the picture.
Checking images that come to you
The same rule applies in reverse. Realistic AI images circulate constantly, and so do real photos from other years and other states. When a reader sends you a dramatic picture, treat it like any other unverified claim: find who took it, when and where. Ask for the original file. Look for the same image elsewhere with a reverse image search. If you cannot trace it, do not run it as real.
Disclosure that actually works
Disclosure has one job: a reader who sees the image should know how it was made. That means the label goes with the picture. A policy page nobody reads does not count.
Put it in two places:
- The caption or credit line, every time.
- The image itself, in small text, when the picture might be shared on its own. Social posts, link previews and screenshots strip away your caption. A small "AI illustration" in a corner travels with the pixels.
Example: captions for an AI illustration
Good: Illustration created with an AI image generator. It does not depict a real location.
Good, shorter: AI-generated illustration.
Weak: Image: AI (Many readers will not know what this means.)
Bad: Artist's rendering (Implies a human artist and hides the method.)
Bad: no label at all, on a photorealistic picture of a street.
Disclose AI editing on real photos too, when it changes content. Removing a power line with generative fill changes what the scene showed. Ordinary adjustments like brightness, contrast and cropping do not need a label as long as they keep the image truthful.
Who owns an AI image?
In January 2025 the U.S. Copyright Office published Part 2 of its report on copyright and artificial intelligence. Its conclusions: copyright does not extend to purely AI-generated material, and prompts alone, with today's widely available tools, do not give a person enough control over the output to count as its author. Human contributions can still be protected, such as your own arrangement of elements or substantial hand edits.
So your raw AI images likely give you thin or no copyright protection, so others may be able to reuse them. And check the terms of whatever service made the image, since those terms govern what you agreed to.
Making the image: ImageStudio's three sizes
ImageStudio makes AI images at three sizes. Pick the size before you write the prompt, because the shape changes what the picture can hold.
| Size | Shape | Use it for | Composition tip |
|---|---|---|---|
| 1024x1024 | Square, 1:1 | Feed posts, thumbnails, an inline image in an article, profile or episode art | One centered subject. Leave a margin on all sides. |
| 1080x1920 | Vertical, 9:16 | Phone stories, reels, vertical video backgrounds | Stack the subject vertically. Keep the top and bottom fifth fairly empty, since app buttons and captions sit there. |
| 1920x1080 | Horizontal, 16:9 | Article header, video frames, slides, a YouTube thumbnail base | Put the subject off center and leave open space for a headline. |
Write prompts that make the illustration obvious: name a style ("flat vector illustration," "watercolor," "paper cutout"), and keep real names, real logos and real places out. "Watercolor illustration of a small-town water tower with a rising arrow, muted blues" works. A prompt that names your actual mayor does not, for every reason in this lesson.
Generated text inside images is often garbled. Add headlines and labels afterward in a design tool, where you control the spelling.
Try it
- Pick an invented story: the town of Cedar Hollow is debating a $6 million road bond.
- Open ImageStudio and make one 1920x1080 illustration for the article header. Use a clearly non-photographic style and no real names or places.
- Make one 1080x1920 version of the same idea for a phone story, recomposed for the tall frame, not just stretched.
- Write the caption for each, with a disclosure.
- Write one sentence describing an image for this story that you would refuse to generate, and why.
Checklist
- The AI image illustrates an idea, not a real event, place or person.
- The style reads as illustration at a glance.
- Disclosure is in the caption and, if the image may travel alone, on the image.
- No AI fill added or removed content in a real photo without a label.
- The size matches the destination: square, vertical or wide.
- Text was added afterward in a design tool, not left to the generator.
- Any dramatic image from someone else was traced before being called real.
Current: In the News
News coverage
- "Supreme Court denies artificial intelligence authorship claim for artwork copyright", National Constitution Center, Constitution Daily, March 11, 2026. With Thaler v. Perlmutter left standing, an image made entirely by AI still cannot be registered for copyright in the U.S.
- "This AI-Enhanced Photo of Alex Pretti Was Aired by Major News Outlets", PetaPixel, January 30, 2026. National outlets ran an AI-sharpened internet copy of a news subject's portrait that changed his face and build, a warning about using images whose source you have not traced.
- "Trump's use of AI images further erodes public trust, experts say", PBS News Hour (Associated Press), January 27, 2026. Covers an altered arrest photo posted by the White House, with misinformation experts' concerns and the administration's reply.
Audio and video
- "Get to Know Content Credentials | Navigating Generative AI Ethics | Adobe", Adobe (YouTube), June 3, 2026. A short explainer on how Content Credentials show who made an image, how it was made, and whether AI was involved.
External resources
- "C2PA Content Credentials Explained: Addressing Common Questions and Updates", C2PA Technical Working Group, September 2025. The standards body's own plain explanation that credentials show an image's origin and edits, not whether it is true, and what happens when metadata is stripped.
- "Copyright Registration Guidance: Works Containing Material Generated by Artificial Intelligence", U.S. Copyright Office, March 16, 2023. The official rule for disclosing AI-generated material when registering a work that mixes human and AI content.
Check yourself
1. Which use of an AI-generated image is acceptable in a news article?
Labeled illustration of an idea is fine. Depicting real events or real people as if documented is not.
2. What is the best place for an AI disclosure?
Images travel without their articles. The label has to stay attached to the picture.
3. You need a vertical image for a phone story or reel. Which ImageStudio size fits?
1080x1920 is a 9:16 vertical frame, the shape of phone stories and reels.
4. According to the U.S. Copyright Office's January 2025 report, are images produced purely from a text prompt protected by copyright?
The Office concluded copyright does not extend to purely AI-generated material, and prompts alone do not give enough control.
5. A reader tip includes a striking photo of a burning barn. What should you do before publishing it?
Realistic AI images and recycled photos are common. Provenance has to be checked before anything is presented as real.
Terms in this lesson
- Generative AI image
- A picture produced by software from a text prompt or other input, rather than captured by a camera.
- Photo illustration
- An image built or altered to express an idea, labeled so readers do not take it as a documentary photo.
- Disclosure
- A plain statement telling the reader how an image was made.
- Aspect ratio
- The shape of an image as width to height, such as 1:1, 9:16 or 16:9.
- Provenance
- Where an image came from and how it was made, traced back to its origin.
Sources
- U.S. Copyright Office, Copyright and Artificial Intelligence, Part 2: Copyrightability (January 2025) checked 2026-10
- SPJ Code of Ethics checked 2026-10
- NPPA Code of Ethics checked 2026-10