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Getty Images gegen Stability AI

Getty Images v.

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Zuletzt aktualisiert 15. Sept. 2026

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Übersicht
Tiefer Einblick
Strategische Auswirkungen
The Future of Getty Images v. Stability AI
Reale Umsetzung
Risiken und Leitplanken
Implementierungs-Roadmap
Entdecken Sie weiter
Häufig gestellte Fragen

Übersicht

Stability AI is a pair of lawsuits, in the UK and the US, over Stability AI's use of Getty photographs to train the Stable Diffusion image generator. Getty's claims include copyright infringement and trademark harm from outputs showing distorted Getty watermarks. In November 2025, the UK High Court ruled that the Stable Diffusion model was not an infringing copy of Getty's images. That made it one of the first full trial judgments on whether a trained AI model contains the works it learned from.

Tiefer Einblick

Getty Images, one of the largest photo libraries, sued Stability AI in the UK High Court in January 2023 and in the US in February 2023. The US complaint alleged Stability copied more than 12 million Getty photographs, along with their captions and metadata, to train Stable Diffusion. The US case was first filed in Delaware and later refiled in federal court in California. It has not reached trial. The UK case went to trial in June 2025 and narrowed along the way. Getty dropped its main claims that training and outputs infringed copyright. The central problem was jurisdiction: UK copyright applies to acts in the UK, and Getty could not show training happened there. Output claims also weakened once Stability blocked the prompts in question. What remained was secondary infringement. UK law makes it infringing to import or deal in an 'article' that is an 'infringing copy.' Getty argued that Stable Diffusion's model weights, made available in the UK, were such an article. In November 2025, Mrs Justice Joanna Smith agreed that an article can be intangible, including software, but held the weights are not an infringing copy because they do not store or reproduce Getty's images. They are parameters learned from the images. On trademarks, the court found infringement in limited cases involving older model versions that produced Getty and iStock watermarks, but not for later versions. It declined to find broader harm to the reputation of Getty's marks. A common misconception is that the ruling declared AI training lawful in the UK. It did not decide that, because training happened outside the UK and that claim was dropped.

Technischer Einblick

The question of whether weights are copies turns on how diffusion models work. Stable Diffusion is trained by adding noise to images and learning to reverse it, conditioned on text. The result is a set of numerical weights, a few gigabytes in size, derived from billions of image-text pairs. Those weights are far too small to store the training images in any ordinary sense. However, research has shown diffusion models can sometimes reproduce near-copies of images that appear many times in training data. The UK court relied on expert evidence that the weights do not contain the works. That distinction matters for anyone distributing models. Liability may depend on whether a model memorizes and can output specific works, not merely on having been trained on them. Watermarks show the other side. A watermark repeated across many training images becomes a learned visual pattern, and the model can reproduce it even when it is not reproducing any one photo.

Strategische Auswirkungen

Risiko und Sicherheit

Sowohl katastrophale als auch alltägliche Schäden durch KI hängen davon ab, wer die Risiken versteht und wer handeln kann.

Klarere Entscheidungen

Die öffentliche und berufliche Bildung bestimmt, ob eine starke Sicherheitspolitik politisch möglich ist.

Sich durch den Hype schneiden

Klare Erklärungen reduzieren die Vereinnahmung durch Hype, Labor-PR und vages Ethik-Theater.

The Future of Getty Images v. Stability AI

Appeals are possible, and the UK reasoning on intangible articles and model weights may be tested again in higher courts or other cases. The US case will apply different law, including fair use, and the question of where training took place may be less of an obstacle there. UK policymakers are also considering changes to text and data mining rules, which could change the legal landscape more than litigation. Developers can reduce risk by deduplicating training data, filtering watermarked images and documenting where they trained. Rights holders, meanwhile, are likely to keep pairing lawsuits with licensing offers.

Reale Umsetzung

Users of early Stable Diffusion versions got images showing a warped version of the Getty Images watermark, which became the basis for Getty's trademark claims.

A stock photo agency reviews its licensing terms after seeing Getty's primary UK training claim dropped because the training took place on computers outside the UK.

A UK startup that downloads open model weights asks its lawyers whether importing the model creates liability; the UK ruling suggests weights are not an infringing copy if they do not store the works.

Getty's own licensed generative AI product, trained on its content, reflects the business argument that a paid market for training data exists.

Risiken und Leitplanken

Das existentielle Risiko wird als Science-Fiction behandelt, während sich die Fähigkeiten verstärken.
Verwechslung von Oberflächenproduktsicherheit mit Ausrichtung unter hoher Autonomie.
Nicht-englischsprachigen und nicht fachkundigen Zielgruppen stehen nur Quellen von geringer Qualität zur Verfügung.

Implementierungs-Roadmap

Separate Risiken für Produktschäden, Missbrauch und Kontrollverlust/Fehlausrichtung.
Fragen Sie, welche Beweise Ihre Sicht auf Zeitpläne und Schweregrad ändern würden.
Bevorzugen Sie Primärquellen und konkrete Bewertungen gegenüber Marketingaussagen.
Identifizieren Sie einen Aktionspfad: Karriere, Politik, Finanzierung oder Fähigkeiten – nicht nur Bewusstsein.

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Häufig gestellte Fragen

What is Getty Images v. Stability AI?

Getty Images v. Stability AI is a pair of lawsuits, in the UK and the US, over Stability AI's use of Getty photographs to train the Stable Diffusion image generator. Getty's claims include copyright infringement and trademark harm from outputs showing distorted Getty watermarks. In November 2025, the UK High Court ruled that the Stable Diffusion model was not an infringing copy of Getty's images. That made it one of the first full trial judgments on whether a trained AI model contains the works it learned from.

Why did Getty's primary UK claim over training fail to proceed?

UK copyright covers acts in the UK, and Getty could not show Stable Diffusion was trained there, so it dropped the training claim.

What did Getty argue was an 'infringing copy' in its UK secondary infringement claim?

Getty argued the model weights made available in the UK were an article that was an infringing copy of its works.

What did the court decide about whether an 'article' can be intangible?

The judge accepted that an article can be intangible, but still found the weights were not an infringing copy.

Why did the UK court hold the model weights were not an infringing copy?

Expert evidence showed the weights are learned parameters rather than stored copies of the training images.

What was the basis for Getty's trademark claims?

Older model versions produced images with warped Getty watermarks, which the court found infringed in limited cases.

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