Getty Images and OpenAI strike licensed visual-content display deal
Getty Images announced a multi-year display agreement with OpenAI. Under the deal, Getty Images’ licensed content libraries will appear across OpenAI search and discovery experiences within ChatGPT. The agreement is framed around licensed display of visual content rather than an open-ended permission to train image-generation models.
Why visual creators should care
For photographers, stock contributors, agencies, publishers, and image libraries, this is a practical example of visual licensing moving into AI search and assistant interfaces. It also shows the distinction between displaying licensed images in an AI product and using those images to train or improve generative image systems.
Practical takeaway
Creators and agencies should separate display rights, search rights, training rights, reference-image rights, and client-transfer rights in contracts. Licensing an image for one AI-adjacent use should not be assumed to permit every downstream AI use.
What to watch next
Watch whether Getty, OpenAI, and other visual libraries publish clearer terms around attribution, creator compensation, search-display context, training exclusions, and whether similar image-library deals become standard for AI assistants.
Sources
UK media strategy points toward a digital-replica consultation this summer
The UK government published a media green paper and consultation titled Watch this space: a new strategic direction for UK media. The document says the government will launch a consultation on digital replicas in the summer, seeking views on how to address harms caused when someone’s likeness is replicated without permission while protecting legitimate innovation. This follows earlier UK copyright and AI policy work that identified digital replicas as a concern for the creative industries.
Why visual creators should care
For photographers, filmmakers, performers, models, agencies, publishers, and production companies, digital replicas are becoming a formal policy issue in the UK media sector. The consultation could affect how likeness, voice, stills, footage, archive material, and performance data are licensed or restricted in future creative work.
Practical takeaway
Production and client agreements should already distinguish ordinary image or footage use from permission to create a digital replica. Consent, approval, duration, territory, compensation, source-material access, and future reuse should be written down before stills or footage are handed over.
What to watch next
Watch for the summer consultation and whether the UK proposes a standalone digital-replica right, reforms to performer/image rights, platform duties, or new rules for AI-generated likenesses in media and advertising.
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C2PA conformance listing turns YouTube video processing into a provenance checkpoint
The C2PA Conformance Explorer lists YouTube Video Processing Services from Google LLC as conformant, with the latest conformance shown as June 17, 2026. C2PA conformance is part of the wider Content Credentials ecosystem for recording and verifying media origin and edit history. For video platforms, this matters because AI labelling and provenance depend on more than a visible label: the underlying processing chain also has to preserve trustworthy signals.
Why visual creators should care
For video creators, agencies, publishers, photographers, filmmakers, and platforms, provenance is becoming part of the rights and trust workflow. A video may need to show whether it was captured, edited, generated, processed, or distributed through systems that preserve reliable origin information.
Practical takeaway
Creators and agencies should start treating provenance metadata as part of delivery, especially for client-facing video, news, documentary, advertising, and AI-assisted work. Contracts should say whether Content Credentials or other provenance records must be preserved through export, upload, and platform processing.
What to watch next
Watch whether more platforms, cameras, editing tools, stock-video services, and ad-delivery systems appear in C2PA conformance listings, and whether clients start requiring provenance-preserving workflows.
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OpenAI visual terms make likeness consent and Sora remix rights a contract issue
OpenAI’s service terms include a section on image and video capabilities. The terms say users may not use visual capabilities to reproduce the likeness of any person without express consent and all necessary rights. They also say that when users share image or video content publicly on the services, including the Sora feed or by uploading to create a Sora cameo, they grant OpenAI rights to operate and promote the services and give other users limited rights to reproduce and remix that content inside the services.
Why visual creators should care
For photographers, filmmakers, performers, agencies, influencers, and clients, this is a reminder that platform terms can affect what happens to uploaded images, videos, cameos, and likeness material. A client may think uploading a file is just a production step, but it can also trigger service-specific rights and remix permissions.
Practical takeaway
Before uploading client footage, portraits, model images, or campaign assets to an AI platform, check whether the platform grants remix, display, promotional, or internal-use rights. Contracts should define who is allowed to upload files and whether public sharing, cameos, or remixable assets are prohibited.
What to watch next
Watch whether AI video platforms make likeness-consent controls more granular and whether clients begin requiring written approval before any real-person content is uploaded to tools with public feeds or remix functions.
Sources
EUIPO’s GenAI guidance shows copyright checks moving into institutional AI workflows
EUIPO announced updated guidelines on the responsible use of generative AI tools. The update is aimed at safe, transparent, and legally compliant use of GenAI in the Office’s own work, including human oversight, data protection, accuracy checks, and copyright-sensitive use. Although the guidance is institutional, it reflects how IP bodies are starting to operationalize AI use around legal compliance rather than treating GenAI as an informal productivity tool.
Why visual creators should care
For designers, agencies, legal teams, visual creators, and businesses filing or managing IP, this matters because AI-generated text, images, logos, summaries, translations, or filing support may become part of official or semi-official workflows. Human review, source checks, and clear responsibility are becoming expected parts of professional AI use.
Practical takeaway
Creators and agencies should apply a similar discipline to client work: classify sensitive information before using AI tools, avoid uploading confidential visual assets without permission, check AI outputs for accuracy and rights risk, and keep a record of human review.
What to watch next
Watch whether EUIPO adds more public-facing AI guidance for applicants, designs, figurative marks, AI-generated logos, and copyright-related rights information as AI use becomes more common in IP filing workflows.
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Andersen docket update keeps source-code evidence in visual-AI litigation on watch
CourtListener lists a June 23, 2026 last-known filing in Andersen v. Stability AI, the major visual-artist copyright case over AI image training and outputs. Recent filings in the case have focused in part on disputes around source-code inspection, including DeviantArt-related inspection issues. The latest docket activity keeps the case moving toward discovery questions that may affect what artists can access when challenging AI image systems.
Why visual creators should care
For illustrators, visual artists, photographers, AI image creators, agencies, and platforms, the practical issue is evidence. AI copyright disputes may not turn only on final outputs; they may also depend on prompts, platform behaviour, training-system design, source code, model workflows, and internal technical records.
Practical takeaway
Creators using or challenging AI tools should keep clean records of prompts, source images, outputs, tool settings, dates, edits, client approvals, and delivery versions. Agencies should assume that in serious disputes, the question may become not only what image was delivered, but how the tool produced or processed it.
What to watch next
Watch for any follow-up order or public filing after the source-code inspection dispute, especially if the court clarifies what platform internals plaintiffs can inspect in AI image cases.
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