Adobe Says It Won’t Train AI Using Artists’ Work. Creatives Aren’t Convinced

When users first found out about Adobe’s new terms of service (which were quietly updated in February), there was an uproar. Adobe told users it could access their content “through both automated and manual methods” and use “techniques such as machine learning in order to improve [Adobe’s] Services and Software.” Many understood the update as the company forcing users to grant unlimited access to their work, for purposes of training Adobe’s generative AI: Firefly.

Late on Tuesday, Adobe issued a clarification: In an updated version of its terms of service agreement, it pledged not to train AI on its user content stored locally or in the cloud and gave users the option to opt-out of content analytics.

Caught in the crossfire of intellectual property lawsuits, the ambiguous language used to previously update the terms shed light on a climate of acute skepticism among artists, many of whom over rely on Adobe for their work. “They already broke our trust,” says Jon Lam, a senior storyboard artist at Riot Games, referring to how award-winning artist Brian Kesinger discovered generated images in the style of his art being sold under his name on their stock image site, without his consent. Earlier this month, the estate of late photographer Ansel Adams publicly scolded Adobe for allegedly selling generative AI imitations of his work.

Scott Belsky, Adobe’s Chief Strategy Officer, had tried to assuage concerns when artists started protesting, clarifying that machine learning refers to the company’s non-generative AI tools—Photoshop’s “Content Aware Fill” tool, which allows users to seamlessly remove objects in an image, is one of the many tools done through machine learning. But while Adobe insists that the updated terms does not give the company content ownership and that they will never use user content to train Firefly, the misunderstanding triggered a bigger discussion about the company’s market monopoly and how a change like this could threaten livelihoods of artists at any point. Lam is among the artists that still believes that, despite Adobe’s clarification, the company will use work created on its platform to train Firefly without the creator’s consent.

The nervousness over non-consensual use and monetization of copyrighted work by generative AI models is not new. Early last year, artist Karla Ortiz was able to prompt images of her work using her name on various generative AI models; an offense that gave rise to a class action lawsuit against Midjourney, DeviantArt, and Stability AI. Ortiz was not alone—Polish fantasy artist Greg Rutkowski found that his name was one of the most commonly-used prompts in Stable Diffusion when the tool first launched in 2022.

Since the introduction of Firefly, some artists have made the difficult (and arduous) decision to cancel their Adobe membership by pivoting to tools like Affinity and Clip Studio. Others feel forcefully bound to the software. “Professionally, I can’t quit Adobe,” says Urquhart.

Adobe has acknowledged its responsibility to the creative community in the past. In September 2023, the company announced the Federal Anti-Impersonation Right (FAIR) act, a legislative initiative that aims to protect artists from misappropriations of their work. The proposal only addresses intentional impersonations used for commercial purposes, raising questions around efficacy (the act would not protect works ‘accidentally generated’ in the style of an artist) and privacy (proving intent would require storing and monitoring user prompts.)

Outside of Adobe, organizations are finding new ways to help authenticate works and prevent intellectual property theft. A team of researchers at University of Chicago developed Nightshade, a tool that “poisons” training data and damages iterations of image-generating AI models, and Glaze, a tool that helps artists “mask” their signature styles from AI companies. In terms of regulation, the Concept Art Association—an organization Lam is also a part of—advocates for artists rights with crowd-funded lobbying efforts.

Source : Wired