\u3044\u3044\u3048<\/strong><\/td>\nGarrett Ham (2026)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nThis article explains published rulings and is not legal advice. Rules differ by country and change. Take advice for your own situation.<\/em><\/p>\n
\u2696\ufe0f Two Different Questions<\/h2>\n Most confusion here comes from merging two separate issues.<\/p>\n
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\u2696\ufe0f Owning it and being allowed to use it<\/p>\n
\n\nCan you own it?<\/text>\nDecided by copyright law<\/text>\nAI-only output: no<\/text>\nAnyone may copy it freely<\/text>\n\nMay you use it?<\/text>\nDecided by the tool’s terms<\/text>\nUsually yes, on paid tiers<\/text>\nDepends on training data<\/text>\n\nYou can be allowed to use something you cannot own<\/text>\nThose are separate questions with separate answers<\/text>\nSource: Norton Rose Fulbright (2026); Red Escuela (2026).<\/text>\n<\/svg>\n<\/div>\nOwnership<\/h3>\n Copyright protects human creativity. Purely machine-made output has no human author.<\/p>\n
So it falls outside protection entirely in the United States.<\/p>\n
That means anyone may copy and reuse it without asking you.<\/strong><\/p>\nPermission to use<\/h3>\n This is a contract question, set by whichever tool you used.<\/p>\n
Most paid tiers permit commercial use of what you generate.<\/p>\n
That permission says nothing about whether you own the result.<\/p>\n
Why both matter<\/h3>\n You may legally use an image in your advertising and still have no exclusive claim to it.<\/p>\n
A competitor could use the identical image without breaching anything.<\/p>\n
For most marketing material that is tolerable. For some things it is not.<\/p>\n
\ud83d\udeab Where This Genuinely Bites<\/h2>\n The practical consequences are narrow but sharp.<\/p>\n
\n\n\n\u4f7f\u7528<\/th>\n Problem?<\/th>\n<\/tr>\n<\/thead>\n \n\nA social post<\/td>\n No real issue<\/td>\n<\/tr>\n \nA blog illustration<\/td>\n No real issue<\/td>\n<\/tr>\n \nAn advertisement<\/td>\n \u901a\u5e38\u306f\u554f\u984c\u3042\u308a\u307e\u305b\u3093<\/td>\n<\/tr>\n \nYour logo<\/td>\n Serious problem<\/strong><\/td>\n<\/tr>\n\nArtwork you sell as a product<\/td>\n Serious problem<\/strong><\/td>\n<\/tr>\n\nIllustrations licensed to clients<\/td>\n Serious problem<\/strong><\/td>\n<\/tr>\n\nBook or album covers<\/td>\n Consider carefully<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nThe three flagged rows all depend on exclusivity.<\/p>\n
Never use a purely AI-generated image as your logo.<\/strong><\/p>\nWhy logos are the clearest case<\/h3>\n A trademark must be distinctive and defensible.<\/p>\n
Without copyright in the underlying artwork, that defence is weakened considerably.<\/p>\n
\u79c1\u305f\u3061\u306e design tool analysis<\/a> makes the same point about stock elements.<\/p>\nThe client work problem<\/h3>\n If you sell design services, clients expect to receive rights.<\/p>\n
You cannot transfer ownership you never had.<\/p>\n
Say so in writing before delivering AI-generated work.<\/p>\n
\ud83d\udd0e Test Creative Tools Free \u2192<\/a><\/p>\n\u270d\ufe0f What Counts as Human Input<\/h2>\n AI-assisted work can be protected, and the bar is higher than people assume.<\/p>\n
\n\n\nContribution<\/th>\n Likely to count?<\/th>\n<\/tr>\n<\/thead>\n \n\nWriting a detailed prompt<\/td>\n \u3044\u3044\u3048<\/strong><\/td>\n<\/tr>\n\nGenerating many versions and picking one<\/td>\n \u3044\u3044\u3048<\/td>\n<\/tr>\n \nSubstantial editing afterwards<\/td>\n Possibly<\/strong><\/td>\n<\/tr>\n\nCombining outputs into a new composition<\/td>\n The arrangement may qualify<\/strong><\/td>\n<\/tr>\n\nUsing output as one element among many<\/td>\n Likely, for the whole work<\/td>\n<\/tr>\n \nYour own text alongside generated images<\/td>\n Text is protected<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nThe Zarya of the Dawn case illustrates the split clearly.<\/p>\n
Protection was granted for the text and arrangement, and refused for the generated images (Editors Weblog, 2026).<\/p>\n
The prompt misconception<\/h3>\n Many people assume a sufficiently elaborate prompt makes them the author.<\/p>\n
The published position is that prompting is not enough, however detailed.<\/p>\n
Control over expressive elements is what matters, not instruction.<\/strong><\/p>\nWhat this suggests practically<\/h3>\n If you need to own the result, treat generated output as raw material.<\/p>\n
Edit substantially, combine it with your own work, and keep records of what you did.<\/p>\n
That record is what would support any later claim.<\/p>\n
\ud83c\udfe2 Why Training Data Became a Selling Point<\/h2>\n One commercial detail explains a lot about enterprise adoption.<\/p>\n
Adobe Firefly launched with fully licensed training data.<\/p>\n
That removed a specific worry for large organisations (Axis Intelligence, 2026).<\/p>\n
\n\n\n\u61f8\u5ff5<\/th>\n Why it matters to a business<\/th>\n<\/tr>\n<\/thead>\n \n\nWhat the model trained on<\/td>\n Possible infringement exposure<\/strong><\/td>\n<\/tr>\n\nWhether the provider indemnifies you<\/td>\n Who pays if there is a claim<\/strong><\/td>\n<\/tr>\n\nOutput resembling existing work<\/td>\n A practical risk<\/td>\n<\/tr>\n \nTerms changing later<\/td>\n Check periodically<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nIndemnity is the row most worth checking before committing.<\/p>\n
Some providers will defend you against claims. Many will not.<\/strong><\/p>\nThe distinction for small businesses<\/h3>\n A sole trader faces far less exposure than a large advertiser.<\/p>\n
Still, the questions are the same and the answers take minutes to find.<\/p>\n
Read the commercial terms of whichever tool you use.<\/p>\n
The resemblance risk<\/h3>\n Occasionally generated output closely resembles an existing work.<\/p>\n
That is a separate problem from ownership and can be a real one.<\/p>\n
Check anything you plan to use prominently before publishing it.<\/p>\n
\ud83d\udcc8 How Fast This Became Normal<\/h2>\n The adoption figures explain why the legal question matters to so many people.<\/p>\n
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\ud83d\udcc8 The scale of everyday use<\/p>\n
\n\n\n88%<\/text>\nOrganisations using AI somewhere<\/text>\n\n82%<\/text>\nLarge enterprises using generative AI<\/text>\n\n150m+<\/text>\nMonthly users of image tools<\/text>\n\n80m\/day<\/text>\nImages generated<\/text>\nAdoption arrived faster than the legal position settled.<\/text>\nSource: SQ Magazine (2026); Morphed (2026).<\/text>\n<\/svg>\n<\/div>\nWhy the gap opened<\/h3>\n Tools reached hundreds of millions of people within a few years.<\/p>\n
Copyright doctrine moves in decades, not years.<\/p>\n
So millions of images exist in a category the law had not anticipated.<\/strong><\/p>\nThe concentration nobody mentions<\/h3>\n One ecosystem is reported to account for roughly 80% of AI-created imagery.<\/p>\n
That means most output shares a small number of underlying models.<\/p>\n
Similar prompts across different tools can produce similar results.<\/p>\n
What that means for distinctiveness<\/h3>\n If everyone uses the same few models, outputs converge in style.<\/p>\n
Generated images increasingly look generated, and recognisably so.<\/p>\n
That is an aesthetic problem before it is a legal one.<\/p>\n
\ud83e\udded A Practical Decision Rule<\/h2>\n Rather than memorising doctrine, ask one question about each image.<\/p>\n
\n\n\n\u8cea\u554f<\/th>\n If yes<\/th>\n If no<\/th>\n<\/tr>\n<\/thead>\n \n\nDo I need to stop others copying this?<\/td>\n Do not use AI alone<\/strong><\/td>\nGenerated is fine<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nThat single question resolves nearly every case correctly.<\/p>\n
Exclusivity is the only thing you actually lose.<\/strong><\/p>\nApplying it<\/h3>\n A blog illustration does not need exclusivity. Use whatever you like.<\/p>\n
A logo needs it absolutely. Commission something original.<\/p>\n
Product artwork you sell needs it. So does anything you licence onward.<\/p>\n
The middle cases<\/h3>\n Book covers, packaging and signage sit in between.<\/p>\n
Ask how much the visual identity carries the business.<\/p>\n
Where it carries a lot, treat exclusivity as necessary.<\/p>\n
Keeping the option open<\/h3>\n Generated images can be a starting point that a designer then reworks substantially.<\/p>\n
That path may produce something protectable while saving time.<\/p>\n
Keep records of what the human contributed at each step.<\/p>\n
\ud83d\udccb Questions to Ask Your Tool<\/h2>\n Terms vary considerably, and they are checkable in minutes.<\/p>\n
\n\n\n\u8cea\u554f<\/th>\n \u306a\u305c\u305d\u308c\u304c\u91cd\u8981\u306a\u306e\u304b<\/th>\n<\/tr>\n<\/thead>\n \n\nDoes my tier permit commercial use?<\/td>\n Free tiers often do not<\/strong><\/td>\n<\/tr>\n\nWhat was the model trained on?<\/td>\n Affects infringement exposure<\/td>\n<\/tr>\n \nIs there an indemnity?<\/td>\n Who defends a claim<\/strong><\/td>\n<\/tr>\n\nCan others generate the same image?<\/td>\n Usually yes<\/td>\n<\/tr>\n \nDo I keep rights if I cancel?<\/td>\n Check before relying on it<\/strong><\/td>\n<\/tr>\n\nAre outputs stored or reused?<\/td>\n Privacy consideration<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nThe free tier question catches people most often.<\/p>\n
Many free plans permit personal use only.<\/strong><\/p>\nThe cancellation question<\/h3>\n Some terms grant rights only while your subscription is active.<\/p>\n
Images already published could become a problem after you leave.<\/p>\n
Check that clause before building a campaign around generated work (Red Escuela, 2026).<\/p>\n
Where to find the answers<\/h3>\n Look for a page titled licensing, terms of use, or commercial rights.<\/p>\n
Search the document for the word commercial and read that section fully.<\/p>\n
\u79c1\u305f\u3061\u306e \u88c1\u5224\u8a18\u9332<\/a> lists tools whose terms are worth comparing.<\/p>\n\ud83c\udf0d Beyond the United States<\/h2>\n Every ruling discussed above is a United States decision.<\/p>\n
\n\n\n\u5730\u57df<\/th>\n General position<\/th>\n<\/tr>\n<\/thead>\n \n\n\u30a2\u30e1\u30ea\u30ab\u5408\u8846\u56fd<\/td>\n Human authorship required<\/strong><\/td>\n<\/tr>\n\n\u30a4\u30ae\u30ea\u30b9<\/td>\n Has a computer-generated works provision<\/td>\n<\/tr>\n \nEuropean Union<\/td>\n Emphasis on human creative choices<\/strong><\/td>\n<\/tr>\n\nElsewhere<\/td>\n Varies considerably<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nThis is a rough summary of a moving picture, not a statement of law.<\/p>\n
If you trade internationally, do not assume one answer applies everywhere.<\/strong><\/p>\nWhy the divergence matters<\/h3>\n An image unprotected in one country may have some protection in another.<\/p>\n
That complicates anything sold or licensed across borders.<\/p>\n
It is another reason to commission original work for anything foundational.<\/p>\n
The direction of travel<\/h3>\n Cases continue and legislatures are considering the question actively.<\/p>\n
Today’s position may not hold in two years.<\/p>\n
Decisions made now should be robust to that changing (Picwand, 2026).<\/p>\n
\ud83e\uddfe Disclosure and Who Expects It<\/h2>\n Separate from law, there are expectations about saying when work is generated.<\/p>\n
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\ud83e\uddfe Where disclosure is expected<\/p>\n
\n\n\nJournalism and news images<\/text>\n\nProduct photographs<\/text>\n\nClient deliverables<\/text>\n\nBlog illustrations<\/text>\n\nDecorative backgrounds<\/text>\nExpectation is highest where the image implies something really happened.<\/text>\n<\/svg>\n<\/div>\nThe product photograph problem<\/h3>\n A generated image of a product implies the product looks like that.<\/p>\n
If it does not, that is potentially misleading regardless of copyright.<\/p>\n
Consumer protection rules apply whether or not an image is generated.<\/strong><\/p>\nWhere disclosure costs nothing<\/h3>\n Decorative illustrations on a blog post mislead nobody.<\/p>\n
Few readers expect those to be photographs of real events.<\/p>\n
Disclosure there is optional and rarely expected.<\/p>\n
Client work again<\/h3>\n Tell clients before delivering, not after they ask.<\/p>\n
Some are entirely comfortable and some are not.<\/p>\n
Finding out afterwards damages the relationship more than the method would have.<\/p>\n
\ud83d\udcb7 What These Tools Cost<\/h2>\n Pricing varies widely and the free tiers carry the most restrictions.<\/p>\n
\n\n\n\u30c6\u30a3\u30a2<\/th>\n Typical position<\/th>\n<\/tr>\n<\/thead>\n \n\n\u7121\u6599<\/td>\n Often personal use only<\/strong><\/td>\n<\/tr>\n\nEntry paid<\/td>\n Commercial use usually permitted<\/td>\n<\/tr>\n \nBundled in design software<\/td>\n Terms follow that product<\/strong><\/td>\n<\/tr>\n\nEnterprise<\/td>\n Indemnity sometimes included<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nThe free tier restriction catches small businesses regularly.<\/p>\n
Using free-tier output commercially may breach the terms you accepted.<\/strong><\/p>\nBundled generation<\/h3>\n Many design tools now include image generation in their subscription.<\/p>\n
That is usually the simplest route, because one set of terms covers everything.<\/p>\n
Check whether the generation feature carries different terms from the rest.<\/p>\n
Why enterprise tiers cost more<\/h3>\n Part of the price buys indemnity and licensed training data.<\/p>\n
For a sole trader that protection is rarely worth the difference.<\/p>\n
For anyone advertising at scale, it may be the main reason to pay.<\/p>\n
\ud83d\udee0\ufe0f Using Generated Images Sensibly<\/h2>\n A short checklist covers most situations without needing legal knowledge.<\/p>\n
\n\n\n\u30b9\u30c6\u30c3\u30d7<\/th>\n \u306a\u305c<\/th>\n<\/tr>\n<\/thead>\n \n\nCheck your tier permits commercial use<\/td>\n The commonest oversight<\/strong><\/td>\n<\/tr>\n\nNever use it for a logo<\/td>\n Exclusivity cannot be secured<\/td>\n<\/tr>\n \nDo not imply it is a photograph<\/td>\n Separate rules apply<\/strong><\/td>\n<\/tr>\n\nLook for resemblance to existing work<\/td>\n A real if uncommon risk<\/td>\n<\/tr>\n \nTell clients before delivering<\/td>\n Avoids a worse conversation later<\/strong><\/td>\n<\/tr>\n\nKeep a note of what you edited<\/td>\n Supports any later claim<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nFive of six steps take under a minute each.<\/p>\n
The checklist matters more than understanding the doctrine.<\/strong><\/p>\nChecking for resemblance<\/h3>\n Run a reverse image search before using anything prominently.<\/p>\n
It occasionally surfaces a close match to an existing work.<\/p>\n
That is worth knowing before publication rather than afterwards (Garrett Ham, 2026).<\/p>\n
Keeping records<\/h3>\n Save your original generation, your edits and the finished file.<\/p>\n
If you ever need to show human contribution, that sequence is the evidence.<\/p>\n
It costs nothing at the time and cannot be reconstructed later.<\/p>\n
\ud83d\udc64 The Case for Commissioning Instead<\/h2>\n Generated imagery is cheap, and sometimes the alternative is better value.<\/p>\n
\n\n\nNeed<\/th>\n Generated<\/th>\n Commissioned<\/th>\n<\/tr>\n<\/thead>\n \n\nBlog illustration<\/td>\n Fine, and instant<\/strong><\/td>\nOverkill<\/td>\n<\/tr>\n \nSocial graphics<\/td>\n Fine<\/strong><\/td>\nRarely necessary<\/td>\n<\/tr>\n \nLogo<\/td>\n \u3044\u3044\u3048<\/td>\n Yes, once<\/strong><\/td>\n<\/tr>\n\nProduct illustration you sell<\/td>\n \u3044\u3044\u3048<\/td>\n \u306f\u3044<\/strong><\/td>\n<\/tr>\n\nPhotographs of your actual work<\/td>\n Cannot substitute<\/td>\n Take them yourself<\/td>\n<\/tr>\n \nBrand illustration style<\/td>\n Inconsistent<\/td>\n Worth paying for<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nTwo rows need commissioning and one needs a camera.<\/p>\n
No generated image can show your actual finished work.<\/strong><\/p>\nThe photography point<\/h3>\n Customers want to see what you really did, not an idealised version.<\/p>\n
Real photographs of real jobs outperform polished generic imagery.<\/p>\n
A phone camera and decent light is enough for that.<\/p>\n
The consistency problem<\/h3>\n Generated images vary in style between sessions.<\/p>\n
Building a recognisable look from them is difficult.<\/p>\n
A commissioned illustration style can be reused indefinitely (Axis Intelligence, 2026).<\/p>\n
\ud83d\udd2e What to Watch Next<\/h2>\n Several things could change the picture within a year or two.<\/p>\n
\n\n\nDevelopment<\/th>\n Possible effect<\/th>\n<\/tr>\n<\/thead>\n \n\nFurther court decisions<\/td>\n May clarify the human input threshold<\/strong><\/td>\n<\/tr>\n\nLegislation on generated works<\/td>\n Could create new protection<\/td>\n<\/tr>\n \nCases about training data<\/td>\n Affects which tools are safe<\/strong><\/td>\n<\/tr>\n\nMandatory labelling rules<\/td>\n Disclosure may become required<\/td>\n<\/tr>\n \nProvider terms changing<\/td>\n Recheck periodically<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nThe training data cases are the ones with the widest consequences.<\/p>\n
An adverse ruling could affect tools people already rely on.<\/strong><\/p>\nHow to stay robust to change<\/h3>\n Prefer tools that disclose what they trained on.<\/p>\n
Avoid building anything foundational on generated work.<\/p>\n
Keep your own photographs and commissioned assets as the backbone (SQ Magazine, 2026).<\/p>\n
The reasonable summary<\/h3>\n Use these tools freely for material that does not need to be exclusively yours.<\/p>\n
Commission or photograph anything that does.<\/p>\n
That division survives whichever way the law develops.<\/p>\n
\ud83d\uddc2\ufe0f A Note on Text and Code<\/h2>\n The same principle extends beyond images, and the answer is similar.<\/p>\n
\n\n\nOutput type<\/th>\n Ownership position<\/th>\n<\/tr>\n<\/thead>\n \n\nPurely generated images<\/td>\n Not protected<\/strong><\/td>\n<\/tr>\n\nPurely generated text<\/td>\n Same principle applies<\/strong><\/td>\n<\/tr>\n\nText you substantially rewrote<\/td>\n Your contribution may qualify<\/td>\n<\/tr>\n \nArrangement of generated pieces<\/td>\n Arrangement may qualify<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nHuman creative contribution is the deciding factor throughout.<\/p>\n
The medium changes, the underlying question does not.<\/strong><\/p>\nWhat this means for written content<\/h3>\n Marketing copy rarely needs copyright protection to do its job.<\/p>\n
Nobody is going to copy your service page and profit from it.<\/p>\n
So the practical concern is much smaller than it is for a logo.<\/p>\n
Where it does matter for text<\/h3>\n Books, courses and anything you licence to others.<\/p>\n
Those depend on being able to stop copying.<\/p>\n
Treat them the way this article treats logos and product artwork.<\/p>\n
One thing that has not changed<\/h3>\n Using a machine to help make something has never disqualified the result.<\/p>\n
Cameras, synthesisers and design software all raised similar questions once.<\/p>\n
What matters is whether a person made the creative choices.<\/strong><\/p>\nThat principle is old, and the current rulings apply it rather than inventing it.<\/p>\n
\ud83d\udeab \u3053\u306e\u30c7\u30fc\u30bf\u3067\u306f\u308f\u304b\u3089\u306a\u3044\u3053\u3068<\/h2>\n This is United States law.<\/strong> Other countries differ, some considerably.<\/p>\nThe position is still developing.<\/strong> Cases continue and rules may shift.<\/p>\nAdoption figures come from vendors.<\/strong> Read the enthusiasm accordingly.<\/p>\nMarket estimates vary threefold.<\/strong> $4.8bn to $12.4bn depends on definitions.<\/p>\nNothing here is advice for your situation.<\/strong> Take proper advice for anything significant.<\/p>\nThe jurisdiction point<\/h3>\n Some countries take a different view of computer-generated work.<\/p>\n
If you trade internationally, the answer may not be uniform.<\/p>\n
Do not assume one country’s rule applies everywhere.<\/strong><\/p>\nThe definitional problem in the market data<\/h3>\n Estimates range from $4.8 billion to $12.4 billion for the same year.<\/p>\n
The gap depends on whether features embedded in other software are counted.<\/p>\n
Any single figure quoted without that context is close to meaningless.<\/p>\n
\ud83c\udfc1 \u77ed\u7e2e\u7248<\/h2>\n 150 million people generate 80 million AI images daily, and most assume they own them.<\/p>\n
In the United States, purely AI-generated images cannot be copyrighted.<\/strong><\/p>\nThe Supreme Court declined to revisit this in March 2026.<\/p>\n
Prompting is not authorship, however detailed the prompt.<\/p>\n
Being allowed to use an image and owning it are separate questions with separate answers.<\/p>\n
For social posts and blog illustrations, none of this causes a problem.<\/p>\n
For logos, products and client work, it matters enormously. \ud83d\uddbc\ufe0f<\/p>\n
\ud83d\ude80 Browse Creative Trials by Category \u2192<\/a><\/p>\n\u2753 \u3088\u304f\u3042\u308b\u8cea\u554f<\/h2>\nCan I copyright an AI-generated image?<\/h3>\n Not in the United States, if it was produced without meaningful human creative input. The Copyright Office position is clear.<\/p>\n
Does a very detailed prompt count as authorship?<\/h3>\n No. Published guidance states that entering prompts, however detailed, is not sufficient.<\/p>\n
What happened in March 2026?<\/h3>\n The Supreme Court declined to hear Thaler v. Perlmutter, leaving in place the ruling that AI cannot be an author.<\/p>\n
Can I still use AI images commercially?<\/h3>\n Usually yes. That depends on your tool’s terms, and it is a separate question from ownership.<\/p>\n
What is the practical risk?<\/h3>\n Anyone may copy an unprotected image. For marketing that rarely matters. For a logo it matters greatly.<\/p>\n
Can any AI-assisted work be protected?<\/h3>\n Yes, where a human exercises meaningful creative control. Text and arrangement were protected in the Zarya case.<\/p>\n
Should I use AI images for my logo?<\/h3>\n No. A trademark needs to be distinctive and defensible, and unprotected artwork weakens that position.<\/p>\n
What about selling AI artwork as a product?<\/h3>\n Consider carefully. You cannot transfer ownership you do not hold, and buyers often assume they receive it.<\/p>\n
Why does training data matter?<\/h3>\n Some providers licensed everything they trained on, which reduces infringement exposure for commercial users.<\/p>\n
What is indemnity and should I care?<\/h3>\n It means the provider defends you against claims. Some offer it, many do not. Check before relying on the tool.<\/p>\n
Do these rules apply outside the United States?<\/h3>\n Not necessarily. Several countries treat computer-generated work differently, so check your own jurisdiction.<\/p>\n
\ud83d\udcda \u53c2\u8003\u6587\u732e<\/h2>\n Norton Rose Fulbright. (2026). AI in litigation series: an update on AI copyright cases in 2026<\/em>2026\u5e748\u67088\u65e5\u306b\u53d6\u5f97\u3002 https:\/\/www.nortonrosefulbright.com\/en\/knowledge\/publications\/ce8eaa5f\/<\/a><\/p>\nEditors Weblog. (2026). Can you copyright AI-generated art? What the law says in 2026<\/em>2026\u5e748\u67088\u65e5\u306b\u53d6\u5f97\u3002 https:\/\/editorsweblog.org\/2026\/06\/30\/can-you-copyright-ai-generated-art-2026<\/a><\/p>\nGarrett Ham. (2026). Can AI-generated works be copyrighted? 2026 legal guide<\/em>2026\u5e748\u67088\u65e5\u306b\u53d6\u5f97\u3002 https:\/\/garrettham.com\/ai-generated-works-copyright\/<\/a><\/p>\n
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