Gadgets, Gigabytes, & Goodwill Blog editors, Lauren Leipold and Owen Wolfe, co-authored an article, “Rules for use of AI-generated evidence in flux,” in Reuters and Reuters’ Westlaw Today. The Seyfarth attorneys discussed how generative AI prompts and outputs are discoverable in litigation, even those that were part of pre-suit investigation, and that parameters around
Copyright
Supreme Court Allows Copyright Damages Recovery Outside Three-Year Limitations Period—But Questions Regarding Accrual of Claims Remain
The U.S. Supreme Court affirmed the Eleventh Circuit’s holding in Warner Chappell Music v. Nealy that copyright plaintiffs bringing timely claims of infringement may recover damages for acts occurring outside the three-year statute of limitations. The ruling addresses a longstanding circuit split over whether monetary relief is available even where infringement occurred more than three…
The Legal Landscape of Fan Art
In the digital age, fans have embraced the opportunity to put a spin on famous corporate logos. Reimagining logos may be a way for consumers to express a connection they have to the brands, teams, and franchises they love and support. However, it does not come without legal risks.
There is a fine line between…
Can’t Hide from Brussels: EU To Require Copyright-Related AI Disclosures
A whole host of creators have filed suit in the U.S. alleging that AI companies improperly used the creators’ content to train AI programs (if you need to catch up on these lawsuits, we recommend our video blog here). In most cases, the creators don’t know for sure whether the AI companies copied their…
Reader Poll on Stability AI Outputs—The Results Are In!
Last week, we asked for your input on whether certain images generated by AI programs were substantially similar to the Plaintiffs’ original artworks, as alleged in Andersen v. Stability AI.
Orders issued in the Andersen case (and other, similar cases) to date suggest that the success of the plaintiffs’ claims hinges on being able…
Skeptical of the Second Circuit: U.S. Supreme Court Hears Arguments on Copyright Damages
On Wednesday, the Supreme Court heard oral argument in Warner Chappell Music, Inc. v. Nealy, an appeal of the Eleventh Circuit’s determination that a copyright plaintiff can recover damages for infringement occurring more than three years prior to filing suit. The Eleventh Circuit’s decision was based on the discovery accrual rule, which begins the limitations period at the moment a plaintiff becomes aware of or should reasonably learn of the infringement upon which a claim is based.
Sherman Nealy and Music Specialist, Inc. brought the underlying lawsuit against Warner and others based upon the alleged unauthorized licensing and use of songs owned by the plaintiffs. Much of alleged infringement occurred while Nealy was incarcerated, and he alleged that he did not become aware of the infringement until 2016. Nealy filed suit in 2018, within three years of the date he allegedly discovered the infringement. The district court held that Nealy’s claims were timely, but that he could only obtain damages for the three years prior to the filing of his lawsuit. The Eleventh Circuit overturned the finding that such a limit on damages existed, holding that Nealy could potentially recover damages outside the three-year period.Continue Reading Skeptical of the Second Circuit: U.S. Supreme Court Hears Arguments on Copyright Damages
Reader Survey: Tell Us Whether You Think Stability AI Outputs are Substantially Similar to Andersen Plaintiffs’ Original Works
You might recall that the judge in Andersen v. Stability AI —the case in which a group of visual artists sued the makers of several different generative AI platforms for copyright infringement—tossed most of the plaintiffs’ claims last year. However, the court allowed the plaintiffs an opportunity to replead. Specifically, the judge said that for their vicarious copyright infringement claims to remain viable, the plaintiffs would have to at least allege that derivative works created using AI programs that generate images in response to user prompts are “substantially similar” to their original copyright-protected works.
The plaintiffs took the judge’s ruling to heart. They filed an amended complaint, adding new plaintiffs and using statements by the AI companies’ employees on social media to bolster their claims that the AI programs are copying their art. Most interesting to us, however, was the images the plaintiff artists inserted into their amended pleading providing a side-by-side comparison of their original visual works and what they allege is substantially similar AI-generated output. (Plaintiffs in other cases involving written works have been taking notes on the Stability AI decision and similar decisions too, which we’ll be writing about in the coming weeks).Continue Reading Reader Survey: Tell Us Whether You Think Stability AI Outputs are Substantially Similar to Andersen Plaintiffs’ Original Works
Avoiding Fumbles and Penalties in California with Influencer Classification
This blog has been cross-posted on Seyfarth’s California Peculiarities Employment Law blog.
Seyfarth Synopsis: Collaborations with athletes, actors, and singers have always been a great way for companies to grow their brand recognition and create profitable products. Similar to celebrity-filled ads in the Super Bowl, collaborative relationships between influencers and companies on social media…
The Latest Chapter in Authors’ Copyright Suit Against OpenAI: Original Pleadings Insufficient
The class of plaintiff authors seeking to hold OpenAI liable for copyright infringement has faced yet another setback. The U.S. District Court for the Northern District of California has knocked out the majority of their claims, refusing to accept the blanket allegation that “every output of the OpenAI Language Model is an infringing derivative work.” However, the court has allowed the plaintiffs another chance to cure many of the deficiencies in their pleadings, so the battle is not yet over.
As we’ve previously reported, named plaintiffs including Paul Tremblay, Sarah Silverman, and Michael Chabon have filed class action lawsuits against several companies associated with popular Large Language Model tools like ChatGPT. The lawsuits claim that because the defendants copied their original works of authorship to use as training material for the LLMs, the AI companies are liable under the federal Copyright Act and various state tort laws. For a quick recap of the theories they are asserting, check out our recent AI Update.Continue Reading The Latest Chapter in Authors’ Copyright Suit Against OpenAI: Original Pleadings Insufficient