Posts in Copyright

On July 12, the U.S. Senate Judiciary Committee’s Subcommittee on Intellectual Property held its second hearing in two months on the intersection of artificial intelligence (AI) developments and intellectual property rights. This most recent hearing focused on potential violations of copyright law by generative AI platforms, the impact of those platforms on human creators, and ways in which AI companies can implement technological solutions to protect copyright owners and consumers alike.

Last week, comedian Sarah Silverman and authors Christopher Golden and Richard Kadrey sued OpenAI in a U.S. district court, alleging the company’s generative AI product, ChatGPT, infringes on their copyrighted content. In addition to copyright infringement, the trio also claimed that the AI company violated the Digital Millennium Copyright Act (DMCA), unfair competition laws and unjustly enriched the company. The lawsuit accuses OpenAI of “copying massive amounts of text” used to train ChatGPT to produce new text from prompts. Language models like OpenAI rely on datasets of text or other media to train its generative capabilities.

On July 11, the Council for Innovation Promotion (C4IP), released a policy report advocating for a pro-innovation legislative and administrative agenda to counteract a series of shocks to the U.S. patent system over the past two decades. This pro-innovation agenda has the direct support of several C4IP members who formerly held high-ranking government positions and are now calling on the federal government to correct several areas of patent law that have improperly tilted the playing field in favor of corporate infringers and foreign counterfeiters.

“The true crime in ecommerce fraud is that creators will stop creating.” That grim assessment has driven Jennifer L. Cook of SnakeArts to fight like heck against rampant infringements and counterfeits globally. Her ongoing class action lawsuit against Meta Platforms claims their subsidiary Facebook knowingly permits copyright infringement via advertisements featuring stolen product images from artists. It seems to be in Meta’s best interest to do so: FB generates the bulk of its billions of dollars in annual revenue from advertisements, without regard to the legitimacy of content.

On June 28, a group of 16 individuals filed a class action complaint in the Northern District of California against generative artificial intelligence (GAI) developer OpenAI on several alleged violations of federal and state law on privacy, unfair business practices and computer fraud. The class action lawsuit’s discussion on property interests in consumer data underscores the intellectual property issues that have arisen since the advent of generative AI platforms like ChatGPT, which scrapes personal data and IP-protected material to train its GAI systems.

On Wednesday, June 28, the United States Copyright Office (USCO) hosted a virtual event exploring guidance for registration of works containing generative artificial intelligence (AI) content. The hour-long event included a recap of the USCO’s previously released policy guidance and the Zarya of the Dawn partial registration refusal, staff walking through numerous examples of how AI technologies are being used, and a Q&A session consisting of pre-planned and live audience discussion.

The U.S. Supreme Court denied the petitions for certiorari in a number of IP cases today, including three the U.S. Solicitor General had recommended rejecting. In Genius v. Google, ML Genius Holdings (Genius) attempted to sue Google for posting song lyrics from its website in Google search results. Genius’s petition asked the High Court to answer the question of whether the Copyright Act’s preemption clause allows a business “to invoke traditional state-law contract remedies to enforce a promise not to copy and use its content?”

The generative artificial intelligence (AI) revolution the world is currently experiencing is powered by data. But what exactly are “data” and how can we make the term fit for use in the complex landscape of generative AI? In simple terms, data in this context can be any digitally formatted information. However, there is an inconsistency in the usage and understanding of the term when it comes to what is encompassed in a dataset used for training a generative AI model. Often, there is metadata or even identifiable information which, although possibly unintended, ends up being part of the training data. There can also be legal implications linked to the data, including systems trained on copyrighted or licensed works, or, for example, systems trained with any visual or textual information containing personal health information.

On June 14, a series of 17 music publishers, members of the National Music Publishers’ Association (NMPA), filed a lawsuit in the Middle District of Tennessee against the social media platform, Twitter. The music publishers’ suit alleges claims of direct, vicarious and contributory copyright infringement by Twitter involving about 1,700 copyrighted songs, many of which continue to remain accessible in…

Earlier this week, the Information Technology and Innovation Foundation (ITIF) released a report that offers a rebuttal to nine claims it identifies with the “anti-IP progressive orthodoxy.” Prominent progressive senators, including Senators Bernie Sanders (D-VT) and Elizabeth Warren (D-MA), have turned up the heat on pharmaceutical companies’ drug pricing and IP policies. While members of Congress on both sides of the aisle have criticized big pharma, the ITIF report identifies other “anti-IP advocates” to rebut including the Electronic Frontier Foundation (EFF), Public Knowledge, Joe Stiglitz, Dean Baker, and Arjun Jayadev. The ITIF report promotes the narrative that intellectual property rights are foundational to the United States as a nation and economy. However, the ITIF argues that anti-IP advocates are trying to persuade the Biden administration to move away from this traditional position.

In the first installment of this two-part series, we posed a question: What is at the intersection of name, image, likeness rights (NILs), non-fungible tokens (NFTs), artificial intelligence (AI) creations, big data, blockchain, and the metaverse? The answer is – intellectual property. Our hypothetical described a high school basketball star, Sky-Freeze, who sought to leverage their name, image, and likeness (NIL) on a metaverse platform, illustrating how a digital avatar, corresponding NFTs in the metaverse, AI, and big data intersect. This second installment explores how AI impacts the intersection, giving rise to legal issues concerning intellectual property rights.

On May 18, 2023, the U.S. Supreme Court answered an exceedingly narrow question of copyright law with potentially sweeping impact: did the purpose and character of Andy Warhol’s below ‘Orange Prince’ work—as used on a 2016 Condé Nast magazine cover—support fair use of Lynn Goldsmith’s photograph of famed musician Prince Rogers Nelson a/k/a Prince?  In a 7-2 decision, the Court found that it does not, calling into question nearly 30 years of fair use jurisprudence, arguably narrowing the scope of that doctrine, and potentially threatening disciplines that rely on it, e.g., appropriation art. The decision is also sure to impact generative artificial intelligence (“AI”), an emerging technology that is also likely to rely heavily on fair use.

What is at the intersection of name, image likeness rights (NILs), non-fungible tokens (NFTs), artificial intelligence (AI) creations, big data, blockchain and the metaverse? Intellectual property, of course, because IP is connected to everything. New technologies necessitate updating intellectual property laws and regulations to address these advancements. Digital computing is advancing at warp speed, including AI, big data, transformative multi-media platforms and social media platforms. Governing laws and regulations are often obsolete, among them data privacy, but at the center of the intersection are intellectual property rights—copyrights, patents, trade secrets, rights of publicity, data rights, and trademarks.

Artificial Intelligence (AI) has become a crucial tool for organizations in various sectors, particularly in the generation of content and code by generative AI systems such as ChatGPT, GitHub Copilot, AlphaCode, Bard and DALL-E, among other tools. As the promise of incorporating these generative tools in the corporate setting is all but assured in the near term, there are a number of risks that need to be minimized as companies more forward. In particular, as AI applications grow increasingly sophisticated, they raise concerns with several forms of intellectual property (IP), such as patents, copyrights, and trade secrets. This article aims to discuss these issues and provide a sample company policy for using AI-generated content such as software code.

In response to last week’s hearing of the House of Representatives’ Subcommittee on Courts, Intellectual Property and the Internet about the impact of artificial intelligence (AI) on copyright law, former Copyright Office General Counsel, Jon Baumgarten, submitted a letter this week to the Subcommittee expressing his concerns with the testimony of one of the witnesses, Sy Damle of Latham & Watkins, who also formerly served as U.S. Copyright Office General Counsel. The letter was published in full on the Copyright Alliance website.