43(B)log
JANUARY 27, 2023
2023 WL 416080, No. Copyright infringement: Rebinding doesn’t create a derivative work. A derivative work must involve an original work being “recast,” “transformed,” or “adapted,” and nothing like that took place here. Steeplechase Arts & Productions, L.L.C. Wisdom Paths, Inc.,
LexBlog IP
MAY 19, 2023
On May 18, 2023, the Supreme Court found that artistic changes to a pre-existing work, alone, not necessarily sufficient to make a derivative work fair use. Applying a new lens on how to view the purpose of a derivative work under U.S. copyright law.
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The IP Law Blog
MARCH 14, 2024
In 2023, several authors, including the comedian Sarah Silverman, filed putative class action lawsuits alleging various copyright infringement claims. However, the Court noted that “the mere fact that a work is copyrighted does not mean that every element of the work may be protected.” OpenAI, Inc.
LexBlog IP
FEBRUARY 15, 2024
The court rejected the conclusory assertion that every output of ChatGPT is an infringing derivative work, finding that plaintiffs had failed to allege “what the outputs entail or allege that any particular output is substantially similar – or similar at all – to [plaintiffs’] books.” 7, 2023). [3]
IP Tech Blog
AUGUST 4, 2023
21-869, as part of INDICAM ’s podcast series “IPxSUMMER 2023 around the world”. The Idea of copyright is actually a bundle of different rights… one of the copyright rights is the right to prepare derivate works (e.g., It’s a way where you take your original work and add new expression to it. Goldsmith et al, Case No.
The IP Law Blog
SEPTEMBER 28, 2023
21, 2023) (Hector Gonzalez), the District Court for the Eastern District of New York granted the plaintiff’s motion for summary judgment regarding the validity of its copyright. The plaintiff also consulted with various rabbis as part of the design process for the Second Holy Temple Product. In JBrick, LLC v. Chazak Kinder, Inc.
Kluwer Copyright Blog
DECEMBER 12, 2023
From the output side, the relevant issues are whether the output is copyright-protected, and whether it infringes the copyright of ‘works “ingested” during the training stage of the AI system’ ( see Quintais, here ; see also here and here ). If there were to be a broader E&L, then what should be the design of such a framework?
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