法律翻译︱艺术家集体起诉Stability AI等公司著作权侵权:法院驳回大部分诉请?
译者|邵子恒 北京大学 J.M & J.D.
审稿|邓雅元 复旦大学法本
赵文磊 波士顿大学 LL.M.
编辑|卢晓洋 香港大学法本
王冰子 烟台大学法本
责编|李 薇 浙江工商大学法本
艺术家起诉Stability AI
等公司著作权侵权:
法院驳回大部分诉请?
美国联邦法院裁决AIGC案件
案件背景
Three visual artists brought putative class action against company that created software library, an artificial-intelligence (AI) model that was trained on existing images, for generating images based on text prompts from users and that offered a software product or service for generating such images, against related company, against operator of platform for visual artists' work that also allegedly provided products or services based on same generative-AI software library to allow users to generate images from text prompts, and against software company that allegedly used same software library in its product for generating images from text prompts, alleging that the AI model underlying the software library was trained on class members' works without authorization and asserting claims against all defendants for direct copyright infringement, vicarious copyright infringement, violation of the Digital Millennium Copyright Act (DMCA), violation of California's statutory and common-law rights of publicity, unfair competition in violation of California's common law and its Unfair Competition Law (UCL), asserting a breach-of-contract claim against platform operator, and seeking damages and declaratory relief. Each defendant separately moved to dismiss, and platform operator filed special motion to strike under California's anti-SLAPP statute.
三位视觉艺术家对以下公司提起了集体诉讼:一家创建软件库的公司(该软件库是一种通过现有图像进行训练的人工智能模型,它能够基于用户输入的提示词生成图像,并提供配套的软件产品或服务)、与之相关的公司、视觉艺术作品的平台运营商(基于同一人工智能生成软件库提供产品或服务,允许用户输入提示词生成图像)、软件公司(在其根据提示词生成图像的产品中使用了同一人工智能生成软件库)。原告声称,该软件库所基于的人工智能模型在没有授权的情况下利用集体成员的作品进行训练,并对所有被告提出以下主张:直接著作权侵权,间接著作权侵权,违反《数字千年版权法》(DMCA),违反加州法定和普通法的公开权,违反加州普通法及其《不正当竞争法》(UCL)的不正当竞争行为。原告还主张平台运营商的合同违约责任,并寻求损害赔偿和宣告性救济。每名被告均提出了驳回动议,平台运营商还根据加州的反策略性诉讼法案(anti-SLAPP)提出了特别删除动议。
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主要法律依据
Under FRCP 12(b)(6), a district court must dismiss a complaint if it fails to state a claim upon which relief can be granted. To survive a Rule 12(b)(6) motion to dismiss, the plaintiff must allege “enough facts to state a claim to relief that is plausible on its face.” A claim is facially plausible when the plaintiff pleads facts that “allow the court to draw the reasonable inference that the defendant is liable for the misconduct alleged.” There must be “more than a sheer possibility that a defendant has acted unlawfully.” While courts do not require “heightened fact pleading of specifics,” a plaintiff must allege facts sufficient to “raise a right to relief above the speculative level.”
根据《联邦民事诉讼规则》(FRCP)第12(b)(6)条,如果原告未能提出可获救济的诉讼请求,则地区法院必须予以驳回。为避免诉请被驳回,原告必须提供“充分的事实以陈述表面上具有可信性的诉讼请求”。只有原告主张的事实“使法院能够合理推断出被告需对其不当行为负有责任”,该诉请便具有表面可信性。被告行为违法性的主张必须“超过纯粹的可能性”。虽然法院并不要求“高度具体的事实陈述”,原告必须提供充分的事实使其“获得救济的权利超过推测水准”。
In deciding whether the plaintiff has stated a claim upon which relief can be granted, the Court accepts the plaintiff's allegations as true and draws all reasonable inferences in favor of the plaintiff. However, the court is not required to accept as true “allegations that are merely conclusory, unwarranted deductions of fact, or unreasonable inferences.” If the court dismisses the complaint, it “should grant leave to amend even if no request to amend the pleading was made, unless it determines that the pleading could not possibly be cured by the allegation of other facts.” In making this determination, the court should consider factors such as “the presence or absence of undue delay, bad faith, dilatory motive, repeated failure to cure deficiencies by previous amendments, undue prejudice to the opposing party and futility of the proposed amendment.”
在判断原告是否陈述了可准予救济的诉请时,法院接受原告所指控的内容为真实,并做出有利于原告的合理推断。然而,法院无须将“仅为结论性、无端推断的事实或不合理的推断”视为真实。如果法院驳回了诉请,“即使原告没有提出修正诉状的请求,法院也应当允许其修正,除非法院确认相关诉请不可能通过陈述其他事实予以补救”。在作出这项判断时,法院需要考虑各种因素,诸如“是否存在不当拖延、恶意、拖延动机、多次修正未能弥补缺陷、对对方造成的不当损害以及拟议修正的徒劳性”。
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判决结果
The motions to dismiss are GRANTED in full, except for the direct copyright infringement claim asserted by plaintiff Anderson against Stability. Plaintiffs are given leave to amend and attempt to cure the deficiencies identified above. The amended complaint, if any, must be filed within thirty (30) days of the date of this Order.
除原告安德森对Stability公司提起的直接著作权侵权诉请外,其余诉讼请求全部被驳回。准许原告对诉状进行修改并纠正相应缺陷。如需修正诉状,原告必须在本命令发布之日起三十天内提交。
法院关于著作权的分析
A. Copyright – Counts I & II
指控著作权侵权 — 指控一和二
a. Identifying Infringed Works
被侵权作品的识别
As to Anderson, defendants argue that she cannot proceed with her copyright infringement allegations unless she identifies with specificity each of her registered works that she believes were used as Training Images for Stable Diffusion. In the Complaint, Anderson alleges that she “has created and owns a copyright interest in over two hundred Works included in the Training Data” and that “[e]xamples of Ms. Andersen's Works included in the Training Data can be found here:
https://haveibeentrained.com/?search_text=sarah% 20andersen.cites.”
对于安德森的指控,被告辩称,安德森在明确指出其被Stable Diffusion用于训练图像的每一件注册作品之前,不得提出侵犯其著作权指控。在起诉书中,安德森称其“创作并享有训练数据库中超过两百件作品的著作权权益”,“训练数据库所包含的安德森的一些作品可以在该连接中找到:
https://haveibeentrained.com/?search_text=sarah% 20andersen.cites”。
Defendants contend that those allegations are insufficient and argue that Anderson should be required to identify which specific works from which of her registered collections she believes were copied into the LAION datasets and ended up as Training Images for Stable Diffusion.
被告认为这些指控是不充分的,并辩称安德森应指明她哪些注册作品集中的哪些具体作品被复制到LAION数据集,并用作Stable Diffusion的训练图像。
(图片来源于网络)
Anderson does not identify which of her specific works covered by a registration were used as Training Images but relies on the output of a search of her name on the “ihavebeentrained.com” site to support the plausibility and reasonableness of her belief that her works were, in fact, used in the LAION datasets and training for Stable Diffusion. She attests that her review of the output pages from that search confirms that some of her registered works were used as Training Images. That is a sufficient basis to allow her copyright claims to proceed at this juncture, particularly in light of the nature of this case, i.e., that LAION scraped five billion images to create the Training Image datasets. At this juncture, the plausible inferences are that all of Anderson's works that were registered as collections and were online were scraped into the training datasets. Her assertions regarding the results of her search on the “haveibeentrained” site supports that inference and makes it reasonable for this case. While defendants complain that Anderson's reference to search results on the “haveibeentrained” website is insufficient, as the output pages show many hundreds of works that are not identified by specific artists, defendants may test Anderson's assertions in discovery.
安德森没有具体指明她的哪些注册作品被用于训练图像,而是依据在“ihavebeentrained.com”网站上她名字的搜索结果来支撑其观点的可信性和合理性,即她的作品事实上被用于LAION数据集和Stable Diffusion的训练当中。安德森作证称,她对搜索结果页面的查证可以证实她的一些注册作品被用作训练图像。在当前阶段,尤其是考虑到本案的性质(LAION爬取了50亿张图片以创建训练图像的数据集),安德森的著作权诉请有充分的事实支撑。在这种情况下可以合理推断,安德森所有被注册为作品集且发布在网络上的作品均被收录到了训练数据集中。本案中,她在“haveibeentrained”网站上的搜索结果可以合理地支撑该推断。虽然被告认为安德森从“haveibeentrained”网站上搜索的依据并不充分,由于搜索结果页面展示了数百件未被指明具体艺术家的作品,被告仍可以在证据开示阶段检验安德森的断言。
b. Direct Infringement Allegations
直接侵权指控
i. Against Stability
针对Stability公司的直接侵权指控
Plaintiffs’ primary theory of direct copyright infringement is based on Stability's creation and use of “Training Images” scraped from the internet into the LAION datasets and then used to train Stable Diffusion. Plaintiffs have adequately alleged direct infringement based on the allegations that Stability “downloaded or otherwise acquired copies of billions of copyrighted images without permission to create Stable Diffusion,” and used those images (called “Training Images”) to train Stable Diffusion and caused those “images to be stored at and incorporated into Stable Diffusion as compressed copies.” In its “Preliminary Statement” in support of its motion to dismiss, Stability opposes the truth of plaintiffs’ assertions. However, even Stability recognizes that determination of the truth of these allegations – whether copying in violation of the Copyright Act occurred in the context of training Stable Diffusion or occurs when Stable Diffusion is run – cannot be resolved at this juncture. Stability does not otherwise oppose the sufficiency of the allegations supporting Anderson's direct copyright infringement claims with respect to the Training Images.
Stability's motion to dismiss Count I for direct copyright infringement is DENIED.
原告直接著作权侵权的主要理论依据是,Stability公司创建并使用了从互联网爬取到的LAION数据集的“训练图像”,并将其用于训练Stable Diffusion模型。原告充分指控了直接侵权行为,认为Stability公司“未经许可下载或以其他方式,获取了数十亿张受著作权保护的图像作品副本,用以创建Stable Diffusion”,并将这些图像(称为“训练图像”)用于训练Stable Diffusion,使这些图像以压缩副本的形式存储在了Stable Diffusion模型中。在驳回动议的“初步声明”中,Stability公司反对原告主张的真实性。然而,即使Stability公司也意识到,目前阶段无法确定违反《著作权法》的图片复制行为是发生在Stable Diffusion模型训练过程中,还是发生在Stable Diffusion模型运行过程中。Stability公司并未就安德森提出的训练图像行为存在直接侵权的指控的充分性提出异议。
法院否认了Stability公司驳回直接著作权侵权指控一的动议。
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ii. Against DeviantArt
针对DeviantArt公司的直接侵权指控
Plaintiffs fail to allege specific plausible facts that DeviantArt played any affirmative role in the scraping and using of Anderson's and other's registered works to create the Training Images. The Complaint, instead, admits that the scraping and creation of Training Images was done by LAION at the direction of Stability and that Stability used the Training Images to train Stable Diffusion. What DeviantArt is specifically alleged to have done is be a primary “source” for the “LAION-Aesthetic dataset” created to train Stable Diffusion. That, however, does not support a claim of direct copyright infringement by DeviantArt itself.
原告未能提出任何具体可信的事实,以证明DeviantArt公司在爬取和使用安德森和其他人的注册作品创建训练图像的过程中发挥了任何积极作用。相反,原告承认,训练图像的爬取和创建是由LAION公司在Stability公司的指导下完成的,而Stability公司使用训练图像对Stable Diffusion模型进行训练。DeviantArt公司还被特别指控称,它是训练Stable Diffusion的“LAION-美学数据集”的主要“来源”。然而,这并不能证明DeviantArt公司本身直接侵犯了著作权。
Plaintiffs offer three theories of DeviantArt's direct infringement:
(1) direct infringement by distributing Stable Diffusion, which contains compressed copies of the training images, as part of DeviantArt's DreamUp AI imaging product;
(2) direct infringement by creating and distributing their DreamUp, which is itself an infringing derivative work;
and (3) generating and distributing output images which are infringing derivative works.
原告针对DeviantArt公司的直接侵权行为提出了三种理论:
(1)作为DeviantArt公司开发的DreamUp图像产品的一部分,DeviantArt公司传播包含训练图像压缩副本的Stable Diffusion模型,构成了直接侵权;
(2)DeviantArt公司开发和传播了属于侵权衍生作品的人机界面DreamUp,构成了直接侵权;以及(3)DeviantArt公司生成和传播了作为侵权衍生图像的AI生成图像。
Turning to the first theory of direct copyright infringement and the plausibility of plaintiffs’ assertion that Stable Diffusion contains “compressed copies” of the Training Images and DeviantArt's DreamUp product utilizes those compress copies, DeviantArt is correct that the Complaint is unclear.
关于第一种直接侵犯著作权的理论,以及原告关于Stable Diffusion模型包含训练图像的“压缩副本”,而DeviantArt公司开发的DreamUp产品使用了这些压缩副本的说法的可信性,DeviantArt公司正确地指出,原告的控诉并不明确。
Plaintiffs will be required to amend to clarify their theory with respect to compressed copies of Training Images and to state facts in support of how Stable Diffusion – a program that is open source, at least in part6 – operates with respect to the Training Images. If plaintiffs contend Stable Diffusion contains “compressed copies” of the Training Images, they need to define “compressed copies” and explain plausible facts in support. And if plaintiffs’ compressed copies theory is based on a contention that Stable Diffusion contains mathematical or statistical methods that can be carried out through algorithms or instructions in order to reconstruct the Training Images in whole or in part to create the new Output Images, they need to clarify that and provide plausible facts in support.
原告应当修改其诉请,以澄清他们关于训练图像压缩副本的理论,并陈述Stable Diffusion模型(一个开源程序,至少部分算是)是如何运行训练图像的。如果原告认为Stable Diffusion模型包含训练图像的“压缩副本”,他们需要明确“压缩副本”的定义并通过可信的事实予以解释。如果原告该理论是基于以下论点,即Stable Diffusion模型包含可以通过算法或指令进行的数学或统计学方法,以完整或部分重建训练图像以生成AI新图像,那么他们需要澄清这一点并提供支持的可信的事实。
In addition to providing clarity regarding their definition of and theory with respect to the inclusion of compressed copies of Training Images in Stable Diffusion, plaintiffs shall also provide more facts that plausibly show how DeviantArt is liable for direct copyright infringement when, according to plaintiffs’ current allegations, DeviantArt simply provides its customers access to Stable Diffusion as a library. Plaintiffs do cite testimony from DeviantArt's CEO that DeviantArt uses Stable Diffusion because Stability allowed DeviantArt to “modify” Stable Diffusion. The problem is that there are no allegations what those modifications might be or why, given the structure of Stable Diffusion, any compressed copies of copyrighted works that may be present in Stable Diffusion would be copied within the meaning of the Copyright Act by DeviantArt or its users when they use DreamUp. Nor do plaintiffs provide plausible facts regarding DeviantArt “distributing” Stable Diffusion to its users when users access DreamUp through the app or through DeviantArt's website.
除了澄清他们在Stable Diffusion模型中包含训练图像压缩副本的定义和理论外,原告还应提供更多的事实,合理地说明DeviantArt公司是如何直接侵犯其著作权。因为根据原告目前的指控,DeviantArt公司只是将Stable Diffusion模型作为一个软件库提供给其客户访问。原告确实引用了DeviantArt首席执行官的证词,称DeviantArt公司使用Stable Diffusion模型的原因是Stability公司允许DeviantArt公司对Stable Diffusion模型进行“修改”。问题在于,原告没有说明这些修改可能是什么,也没有说明为什么从Stable Diffusion模型的结构来看,Stable Diffusion模型中可能存在的任何压缩复制作品,在DeviantArt公司或其用户使用DreamUp时属于《著作权法》保护的范围内。原告也没有提供可信事实,说明DeviantArt公司的用户在通过应用程序或DeviantArt公司网站访问DreamUp时,DeviantArt公司向其用户“传播”了Stable Diffusion模型。
Plaintiffs rely on that line of cases and point to their allegation that all elements of plaintiff Anderson's copyrighted works (and the copyrighted works of all others in the purported class) were copied wholesale as Training Images and therefore the Output Images are necessarily derivative.
原告以这一系列案例为依据,声称安德森著作权作品(以及所谓的集体中其他人的著作权作品)的所有元素都被复制为训练图像,因此DeviantArt公司生成的AI图像必然是衍生作品。
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A problem for plaintiffs is that unlike in Range Road – observed wholesale copying and performing – the theory regarding compressed copies and DeviantArt's copying need to be clarified and adequately supported by plausible facts. The other problem for plaintiffs is that it is simply not plausible that every Training Image used to train Stable Diffusion was copyrighted (as opposed to copyrightable), or that all DeviantArt users’ Output Images rely upon (theoretically) copyrighted Training Images, and therefore all Output images are derivative images.
原告面临的问题是,与Range Road案可以明确看到存在大规模直接复制行为不同,原告需要澄清其关于压缩副本和DeviantArt公司复制的理论基础,并提供可信的事实充分支持。原告需要面临的另一个问题是,不能认为:因为用于训练Stable Diffusion模型的每张训练图像都是受著作权保护的(对应是否可受著作权保护),或者所有DeviantArt公司用户的AI生成图像都依赖于(理论上)受著作权保护的训练图像,所以所有输出图像都是衍生图像。
Even if that clarity is provided and even if plaintiffs narrow their allegations to limit them to Output Images that draw upon Training Images based upon copyrighted images, I am not convinced that copyright claims based a derivative theory can survive absent “substantial similarity” type allegations. The cases plaintiffs rely on appear to recognize that the alleged infringer's derivative work must still bear some similarity to the original work or contain the protected elements of the original work.
即使原告对上述问题予以澄清,并且即使原告缩小其指控范围,限制在以受著作权保护的训练图像为素材而生成的图片的范围内,我也不认为,如果没有类似“实质性相似”的指控,基于衍生作品理论的著作权诉请可以成立。原告所依据的案例似乎承认,被控侵权人的衍生作品仍必须与原作品有一定程度的相似性,或包含原作品中受保护的元素。
DeviantArt's motion to dismiss Claim I is GRANTED with leave to amend.
法院批准DeviantArt公司驳回诉讼请求一的动议,并允许原告进行修改。
iii. Against Midjourney
针对Midjourney的直接侵权指控
On the first theory, unlike the detailed allegations regarding Stability's role with LAION and Stability's connection to the scraping and then use of the Training Images for Stable Diffusion, there are no facts regarding what training, if any, Midjourney conducted for its Midjourney product. The only reference is to the comments of Midjourney's CEO that Midjourney uses the open datasets (that plaintiffs presume are from LAION) and they and everyone else “train” across them. However, plaintiffs also allege that Midjourney uses Stable Diffusion. Plaintiffs need to clarify their theory against Midjourney--is it based on Midjourney's use of Stable Diffusion, on Midjourney's own independent use of Training Images to train the Midjourney product, or both?
与Stability公司在LAION公司中所起作用以及Stability公司在爬取和使用训练图像的详细指控不同,原告指控Midjourney公司的第一个理论并没有事实表明Midjourney为其产品进行了何种类型的训练。唯一提及的是Midjourney首席执行官的评论,即Midjourney使用了公开的数据集(原告推测这些数据集来源于LAION公司),并利用这些数据集进行“训练”。然而,原告还称Midjourney使用了Stable Diffusion模型。原告需要澄清他们指控Midjourney公司的理论是基于Midjourney使用Stable Diffusion模型,还是基于Midjourney独立使用图像用于模型训练,还是两者兼而有之?
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With respect to the other theories, each of them fails for the reasons identified above with respect to DeviantArt.
至于原告的其他理论,与前述对DeviantArt公司的指控类似,每个理论都不成立。
Midjourney's motion to dismiss Claim 1 is GRANTED with leave to amend.10
法院批准Midjourney公司驳回原告诉讼请求一的动议,并允许原告修改。
c. Vicarious Infringement
间接侵权指控
Because plaintiffs have not alleged claims of direct infringement against DeviantArt or Midjourney, the vicarious infringement claims cannot be sustained against them. Claim 2 is DISMISSED against DeviantArt and Midjourney with leave to amend.
由于原告无法指控DeviantArt或Midjourney直接侵权的行为,因此对它们的间接侵权指控亦不能成立。驳回原告对DeviantArt和Midjourney的诉讼请求二,并准许修改。
(图片来源于网络)
Plaintiffs have adequately alleged direct infringement against Stability AI given their allegations regarding Stability's involvement in the scraping, copying, and use of Training Images to train Stable Diffusion. However, to be liable for vicarious copyright infringement, “a plaintiff must allege that the defendant has (1) the right and ability to supervise the infringing conduct and (2) a direct financial interest in the infringing activity.” Plaintiffs have been given leave to amend to clarify their theory and add plausible facts regarding “compressed copies” in Stable Diffusion and how those copies are present (in a manner that violates the rights protected by the Copyright Act) in or invoked by the DreamStudio, DreamUp, and Midjourney products offered to third parties. That same clarity and plausible allegations must be offered to potentially hold Stability vicariously liable for the use of its product, DreamStudio, by third parties.
原告充分指控了Stability AI公司的直接侵权行为,因为他们指控Stability AI公司通过爬取、复制和使用训练图像来训练Stable Diffusion。然而,若要被告承担间接侵权责任,“原告必须指控被告(1)有监督侵权行为的权利和能力,以及(2)在侵权行为中存在直接的经济利益。”原告已获准修改其诉请的理论,补充有关Stable Diffusion中“压缩副本”的可信事实,以及说明这些副本如何出现(以违反《著作权法》所保护的权利的方式)或被引用于提供给第三方的DreamStudio、DreamUp和Midjourney产品当中。要使Stability公司对第三方使用其产品(DreamStudio)的行为负责,原告同样必须提供清晰和可信的指控。
B. DMCA
指控违反《数字千年版权法》
Section 1202(b) of the Digital Millennium Copyright Act (“DMCA”) provides that:
No person shall, without the authority of the copyright owner or the law—
1. intentionally remove or alter any copyright management information;
2. distribute or import for distribution any copyright management information knowing that the copyright management information has been removed or altered without authority of the copyright owner ... or
3. distribute, import for distribution ... works [or] copies of works ... knowing that copyright management information has been removed or altered without authority of the copyright owner ...
knowing or having reasonable grounds to know that it will induce, enable, facilitate or conceal an infringement of any right under this title.
17 U.S.C. § 1202(b).
《数字千年版权法》("DMCA")第1202(b)条规定:
未经版权所有者或法律授权,任何人不得
1. 故意删除或更改任何版权管理信息;
2. 明知版权管理信息在未经版权所有者授权而被删除或更改的情况下,传播或以传播为目的导入任何版权管理信息,......或
3. 明知版权管理信息在未经版权所有者授权而被删除或更改的情况下,传播或以传播为目的导入任何作品或作品副本...
明知或有合理理由知道其行为将引发、促成、便利或隐瞒对本标题下任何权利的侵犯。
《美国法典》第17卷第1202(b)条
In the Ninth Circuit, to establish knowing or having reasonable grounds to know that conduct will “induce, enable, facilitate or conceal,” a plaintiff “must make an affirmative showing, such as by demonstrating a past ‘pattern of conduct’ or ‘modus operandi,’ that the defendant was aware or had reasonable grounds to be aware of the probable future impact of its actions.” At the summary judgment stage, this claim requires providing evidence that the alleged infringer knew that the removal of the CMI would “induce, enable, facilitate, or conceal” copyright infringement. At the pleading stage, the claimant must plead facts plausibly showing that the alleged infringer had this required mental state. While “[a]t the pleading stage, mental conditions generally need not be alleged with specificity,” a plaintiff must still “allege sufficient facts to support the reasonable inference that the defendant ‘knew or had a reasonable basis to know that the removal or alteration of CMI ... w[ould] aid infringement.’ ”
在第九巡回法院,要证明被告明知或有合理理由应当知道其行为会“引发、促成、便利或隐瞒”,原告“必须做出肯定性的证明,例如通过说明以往的‘行为模式’或‘作案手法’,被告明知或有合理理由应当知道其行为将会产生的影响”。在即决判决阶段,原告的诉请需要提供证据证明,被控侵权人明知删除版权管理信息会“引发、促成、便利或掩盖”著作权侵权行为。在诉答阶段,原告必须提出可信的事实,证明被控侵权人存在这种主观意图。虽然“在诉答阶段,一般不需要具体地指控被告的主观意图”,原告必须“陈述足够的事实来合理地支持其合理推断,即被告‘知道或应当知道删除或改变版权管理信息会促成侵权行为’”。
(图片来源于网络)
In addition, plaintiffs must clarify and then allege plausible facts regarding which defendants they contend did the stripping or altering in violation of the DMCA and when that occurred.
此外,原告必须阐明并提出可信的事实,说明是哪位被告违反《数字千年版权法》进行了篡改,以及这些行为发生的时间。
The DMCA claim is DISMISSED as to each defendant with leave to amend. Plaintiffs shall identify the specific CMI each named plaintiff included in the images that each plaintiff contends was used to training Stable Diffusion. Plaintiffs shall not allege violations of the DMCA by “defendants,” but shall instead identify with specificity the theory of DMCA liability for each defendant and plausible facts in support with respect to each defendant.
驳回原告基于《数字千年版权法》的诉讼请求,并准予其进行修改。原告应当指出训练Stable Diffusion的图像所包含的具体版权管理信息。原告不能仅指控“被告”违反了《数字千年版权法》,而应具体指明每名被告违反《数字千年版权法》的理论基础及其支撑的可信事实。
原文链接:https://casetext.com/case/andersen-v-stability-ai-ltd
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