AI has transformed photo editing. Tasks that once took an hour, such as selecting hair, removing a crowd or reducing heavy noise, can now take seconds. Generative tools can even add content that was never photographed. These tools are powerful helpers, but they raise new questions: when is AI editing appropriate, how do you check its results, and when must you disclose it? This lesson brings together the AI editing tools introduced across the editing course and gives a framework for using them well.
Two kinds of AI editing
| Assistive AI | Generative AI | |
|---|---|---|
| What it does | Speeds up edits to existing pixels | Creates new pixels or content |
| Examples | AI masks, denoise, lens blur, auto-straighten | Generative fill, generative expand, added objects, synthetic skies |
| Changes reality? | Usually not | Often yes |
| Disclosure | Rarely needed | Often needed where viewers expect reality |
Common AI editing tools
| Tool | Purpose | Lesson |
|---|---|---|
| AI masks | Select subjects, skies, people, clothing or objects instantly | selections and masks |
| AI removal | Remove distractions by rebuilding the area | healing and cloning |
| Generative fill | Replace or add content from a description | compositing and image construction |
| Generative expand | Extend the frame beyond the original edges | This lesson |
| AI denoise | Reduce noise while keeping detail | noise reduction |
| AI upscaling | Enlarge images for print | resolution, dimensions and output sharpening |
| Relighting and depth effects | Change light direction or background blur after capture | blurring and selective softness |
| Sky replacement | Swap a sky with automatic matching | compositing and image construction |
Generative expand
Generative expand creates new image content beyond the original frame, for example to change a horizontal photo into a vertical format or add space for text. Results can look convincing at small sizes, but the added areas did not exist in reality. Check edges, perspective and repeated textures carefully, and disclose expansion where viewers expect a real scene.
Choosing when to use AI
| Situation | Assistive AI | Generative AI |
|---|---|---|
| News, documentary, evidence, science | Often acceptable for whole-image corrections; check rules | Not acceptable |
| Products and real estate | Acceptable | Only for non-misleading changes; never alter the product or property |
| Portraits and weddings | Acceptable | Use with care and client agreement |
| Advertising and fine art | Acceptable | Acceptable, with disclosure where viewers might assume reality |
| Competitions | Check rules | Often restricted; check rules |
Remember:These limits follow the image-integrity principles in truth, manipulation and image integrity.
Checking AI edits
- Zoom to 100% and inspect edges, textures and fine details.
- Look for typical AI errors: repeated patterns, warped lines, odd hands, unreadable text, mismatched light.
- Compare with the original to see exactly what changed.
- Check at final output size, especially for large prints.
- Keep edits non-destructive on separate layers, as in non-destructive editing principles.
Common AI defects are listed in image manipulation defects and quality control.
Rights and disclosure
- Read tool terms: some generative tools have rules about commercial use and training data.
- Remember authorship: large AI-generated areas may not be protected by copyright in some places, as in ownership and authorship.
- Disclose significant generative changes to clients, publications and audiences where expected.
- Use content credentials where available, as in image authenticity and provenance.
Common mistakes
- Using generative tools in documentary work: breaking trust.
- Not checking AI edits at full size: visible artifacts in print.
- Hiding significant AI changes: misleading clients or viewers.
- Over-relying on AI: losing a personal editing style.
How professionals use AI editing
Professional editors use assistive AI daily for masks, cleanup and noise, use generative tools carefully in commercial and creative work, check every result at full size, keep edits non-destructive, respect genre limits and disclose significant generative changes. AI speeds up their work; their judgment decides what is appropriate.
Practical examples
A vertical version of a landscape
- Situation
- A client needs a vertical banner from a horizontal landscape.
- What to do
- You use generative expand, check the added sky and foreground at full size, and inform the client that the top and bottom were generated.
- Why it works
- Generative content must be checked and disclosed where it matters.
- Result
- A usable banner and a transparent client relationship.
A news image
- Situation
- A news editor suggests using AI to remove a distracting person.
- What to do
- You decline and choose a different frame.
- Why it works
- Generative changes are not acceptable in news images.
- Result
- An honest image and protected credibility.
Key points
- Assistive AI speeds up edits; generative AI creates new content.
- Tools include masks, removal, generative fill and expand, denoise, upscaling, relighting and sky replacement.
- Use generative AI only where appropriate for the genre; never in news, documentary, evidence or science.
- Check AI edits at 100% and final size, and keep them non-destructive.
- Read tool terms, consider authorship and disclose significant generative changes.
Frequently asked questions
What is the difference between assistive and generative AI editing?
Is generative fill allowed in photojournalism?
What is generative expand?
Do I need to disclose AI editing?
Conclusion
AI editing tools save time and open new possibilities. Separate assistive from generative use, respect genre limits, check every result, keep work non-destructive and disclose significant changes. Next, you will learn about automated enhancement and computational processing.
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