AI Copyright Law Guide

The U.S. Copyright Office has provided essential guidance regarding the registration of works containing material generated by Artificial Intelligence (AI). With more artists thinking about using AI as a part of their creative process, this is a critical document for not only for music lawyers but also for music managers who are helping their clients navigate the use of AI in music. Here are the key takeaways from the Copyright Office's policy statement (full paper is attached below for those who are interested): 🎵 Human Authorship Requirement: Works exclusively generated by AI without human involvement do not qualify for copyright protection as "original works of authorship" must be human-created. 🎵 Significant Human Contribution: The use of AI-generated content that is significantly modified, arranged, or selected by a human artist may be eligible for copyright protection, but only for the human-authored parts of the work. 🎵 AI as a Tool: While AI is acknowledged as a valuable tool in the creative process, using AI does not confer authorship. The extent of creative control a human exercises over the work's output is the key factor in determining copyright eligibility. 🎵 Registration of Works with AI-generated Material: Applicants must disclose the use of AI-generated content in their copyright applications, distinguishing between human-created aspects and AI-generated content. 🎵 Correcting Prior Submissions: If a work containing AI-generated content has already been submitted without appropriate disclosure, it should be corrected to ensure the registration remains valid. 🎵 Consequences of Non-disclosure: Applicants who fail to disclose AI-generated content could face the cancellation of their registration or the registration could be disregarded in court during an infringement action. 🎵 Ongoing Monitoring: The Copyright Office continues to monitor developments in AI and copyright law, indicating the possibility of future guidance and adjustments to the policy. #musicindustry #musicbusiness #musicpublishing #copyrightlaw

At last, the U.S. Copyright Office published new guidelines on copyright, setting clear boundaries for AI-generated works. Copyright safeguards the original expression created by a human author, even if AI-generated content is part of the work. These new guidelines state that outputs created solely by AI cannot be granted copyright protection, while ensuring that human creators who use AI as an aid retain their rights. The employment of AI tools to support, rather than replace, human creativity does not impact the eligibility for copyright protection of the resulting work. For more details, refer to the report itself: https://buff.ly/40JbEUy

The US Copyright Office has just released its Part 3 Report on Generative AI Training, and it addresses the elephant in the dataset: Can AI companies use copyrighted content to train their models without permission or payment? The report says this is not a grey area. Training on copyrighted works is not automatically protected under fair use, particularly when conducted at scale and for commercial use. The report outlines multiple stages that can raise infringement claims from scraping and dataset curation to model training and the generation of outputs. The Office explicitly rejects the idea that “publicly available” content online is free for use in AI training. That position, often relied on by developers, does not hold up under copyright scrutiny. The fair use analysis is direct: 𝐏𝐮𝐫𝐩𝐨𝐬𝐞: The use is commercial, high-volume, and systemic, not limited or research-driven. 𝐀𝐦𝐨𝐮𝐧𝐭 𝐮𝐬𝐞𝐝: Full works and large repositories are routinely copied. 𝐌𝐚𝐫𝐤𝐞𝐭 𝐢𝐦𝐩𝐚𝐜𝐭: AI outputs often compete with the original works and may displace licensed content. 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐯𝐞𝐧𝐞𝐬𝐬: Using expressive content to generate similar expressive content is unlikely to qualify. The Office states: 𝘛𝘩𝘦 𝘤𝘰𝘱𝘺𝘪𝘯𝘨 𝘪𝘯𝘷𝘰𝘭𝘷𝘦𝘥 𝘪𝘯 𝘈𝘐 𝘵𝘳𝘢𝘪𝘯𝘪𝘯𝘨 𝘵𝘩𝘳𝘦𝘢𝘵𝘦𝘯𝘴 𝘴𝘪𝘨𝘯𝘪𝘧𝘪𝘤𝘢𝘯𝘵 𝘱𝘰𝘵𝘦𝘯𝘵𝘪𝘢𝘭 𝘩𝘢𝘳𝘮 𝘵𝘰 𝘵𝘩𝘦 𝘮𝘢𝘳𝘬𝘦𝘵 𝘧𝘰𝘳 𝘰𝘳 𝘷𝘢𝘭𝘶𝘦 𝘰𝘧 𝘤𝘰𝘱𝘺𝘳𝘪𝘨𝘩𝘵𝘦𝘥 𝘸𝘰𝘳𝘬𝘴. This is a key clarification for the industry. Developers relying on generic fair use claims will have to prove that their specific training methods and outputs meet the legal threshold but most won’t. The report also addresses and rejects common defenses: 📌AI training is not a “non-expressive” use. 📌Public access is not the same as permission. 📌Training on infringing datasets attracts stricter scrutiny. While the report stops short of policy prescriptions, it identifies extended collective licensing as a possible solution where voluntary markets fall short. It also notes legal and operational barriers that would need to be addressed for such a system to work. The report can be accessed at: https://lnkd.in/gD8fn-jA #copyright

The U.S. Copyright Office’s latest report, Copyright and Artificial Intelligence, Part 2: Copyrightability, provides critical insight into how AI-generated works fit—or don’t fit—within existing copyright law. The key takeaway is clear: for a work to be eligible for copyright protection, it must demonstrate human authorship. AI can be used as a tool, much like a camera or a digital editing program, but the final output must be shaped by human creativity to qualify for protection. “After considering the extensive public comments and the current state of technological development, our conclusions turn on the centrality of human creativity to copyright,” said Shira Perlmutter, Register of Copyrights and Director of the U.S. Copyright Office. “Where that creativity is expressed through the use of AI systems, it continues to enjoy protection. Extending protection to material whose expressive elements are determined by a machine, however, would undermine rather than further the constitutional goals of copyright.” The report reinforces the longstanding principle that copyright is designed to protect human creativity, not machine-generated content. This means that if an AI system independently generates an artwork, a piece of music, or a written work without meaningful human input, it is not copyrightable. However, if a human exercises creative control over an AI tool—such as selecting inputs, editing outputs, or structuring the composition in a way that reflects personal expression—the resulting work may qualify for copyright protection. This ruling has broad implications for industries that rely on AI to generate content, including publishing, music, design, and film production. Creators who incorporate AI into their workflows must ensure that they actively contribute to the final creative expression if they wish to secure copyright protection. This could mean curating datasets, fine-tuning prompts, or making substantial modifications to AI-generated outputs. For businesses, this means rethinking AI-driven content strategies. Fully automated content may not be protectable under copyright law, potentially impacting ownership rights and monetization strategies. On the other hand, companies that blend human creativity with AI assistance could maintain strong legal claims to their intellectual property. As generative AI tools become more sophisticated, expect ongoing legal and regulatory scrutiny. The Copyright Office’s stance suggests that future policy will likely continue to emphasize human authorship as the foundation of copyright protection. This raises important questions: How much human involvement is enough? Could AI-generated content be protected under alternative legal frameworks, such as database rights or contractual agreements? For now, businesses and creators using AI should take a cautious and strategic approach—ensuring human authorship is at the core of their creative process to secure legal protection. -s

I posted "Second Degree Intellectual Property" to SSRN today. Abstract: This article explores the emerging challenge of "second-degree intellectual property" - copyrightable works and patentable inventions produced by artificial intelligence systems without direct human creativity. The Article argues that while copyright should not protect AI-generated works lacking human proximate cause, the case for AI-generated patents is more nuanced. The article proposes using the concept of "proximate cause" from tort law to determine when human involvement in AI outputs is sufficient for IP protection. For copyrights, this means identifying human creative expression, not just ideas, in prompts given to AI systems. For patents, it requires demonstrating human contribution to conception of the invention. Ultimately, the article contends that granting IP rights to AI outputs without human proximate cause requires empirical evidence of societal benefit, not just commercial value. The Article's analysis provides a framework for courts and policymakers to address the IP implications of increasingly autonomous AI systems. Read the article: https://lnkd.in/dYgFAZeE

The U.S. Copyright Office Clarifies AI-Generated Content Rules: What You Need to Know The U.S. Copyright Office has made its stance on AI-generated content crystal clear. If you’re leveraging AI tools in your creative process, here’s what you need to know about copyright eligibility: ✅ What’s Copyrightable? • Your Prompts: The creative input you provide to AI can be copyrighted. • Your Edits: Any modifications or refinements you make to AI-generated content are protected. • Your Edits + AI Output: If you significantly shape or transform AI-generated material, your contributions are eligible for copyright. ❌ What’s NOT Copyrightable? • Unedited AI Output: Content generated solely by AI, without meaningful human intervention, is not protected. • Your Prompts + Unedited AI Output: While prompts guide AI responses, they don’t provide enough creative control to warrant copyright protection. Key Takeaways from the U.S. Copyright Office 1. AI as an Assistant, Not a Creator – If AI is merely a tool aiding human creativity, the final product can be copyrighted. However, AI cannot be considered the author. 2. Human Authorship is Required – Copyright laws protect original human expression, even when AI is involved. 3. Purely AI-Generated Works Are Excluded – If there’s no significant human involvement in shaping the final output, it won’t be eligible for copyright. 4. Case-by-Case Evaluation – Each work will be assessed individually to determine if human contributions are substantial enough to qualify. 5. Prompts Alone Are Not Enough – While prompts guide AI, they don’t exert enough creative control to be considered authorship. The bottom line? AI can be a valuable creative tool, but human input is essential for copyright protection. If you’re using AI in your work, ensure you’re actively shaping and refining the content to maintain ownership rights. For the full details, check out the U.S. Copyright Office’s official PDF here: https://lnkd.in/e3teRv8y

The United States Copyright Office just published a new 52 page report on AI-generated content and copyrightability. If you're using AI for marketing, here’s what you need to know. Listen to the Content Amplified podcast for more insights like these: https://lnkd.in/gaVVrmEv 1️⃣ You don’t automatically own AI-generated content If AI creates something without enough human input, you don’t have copyright protection. That means anyone else could use it too. "Copyright does not extend to purely AI-generated material, or material where there is insufficient human control over the expressive elements." 2️⃣ Writing a prompt isn’t enough A long, detailed prompt doesn’t make you the author. Courts see prompts as instructions, not creative expression. "Based on the functioning of current generally available technology, prompts do not alone provide sufficient control." 3️⃣ Human effort = ownership If you edit, modify, or arrange AI-generated content in a meaningful way, that part is copyrightable. "Human authors are entitled to copyright in their works of authorship that are perceptible in AI-generated outputs, as well as the creative selection, coordination, or arrangement of material in the outputs, or creative modifications of the outputs." So how do you protect your brand’s AI content? ✅ Use AI as a tool, not a replacement for human creativity ✅ Keep records of your input and edits to AI-generated content ✅ Make sure key brand assets have clear human authorship ✅ Stay updated—copyright rules are evolving ℹ️ Image source: The U.S. Copyright Office Disclaimer: This post is for informational purposes only and not legal advice. Consult a legal professional for specific guidance.

Important Development in #AI & Copyright Law: Today, Judge Bibas (former law professor) ruled that ROSS Intelligence's use of Westlaw headnotes to train its legal AI system constitutes copyright infringement (Thomson Reuters v. ROSS Intelligence). 1: The court found that copying Westlaw's headnotes for AI training wasn't "transformative" under fair use doctrine, as both companies used the content for legal research tools. See Warhol (2023). 2. What makes this case particularly interesting is its departure from recent AI-friendly decisions. Unlike Google v. Oracle (2021), where API copying was necessary for interoperability, the court found ROSS could have created its own legal summaries. 3. While public access to legal materials was considered, the court distinguished between freely available court opinions and Thomson Reuters' proprietary analysis of those materials. The court emphasized that strong copyright protection actually serves the public interest by incentivizing the development of, for example, valuable legal research tools. 4. With over 2,000 headnotes found to be infringing on summary judgment, the potential damages could be substantial using common statutory damages calculations of $750 - $150,000 per work being infringed. The opinion makes sense https://lnkd.in/gxEDyrsE

Earlier this week, the US Copyright Office issued Part II of its Copyright and Artificial Intelligence report. This part addresses the copyrightability of AI-generated works. Below are the excerpts that look particularly interesting: “…prompts alone do not provide sufficient human control to make users of an AI system the authors of the output.” “…gaps between prompts and resulting outputs demonstrate that the user lacks control over the conversion of their ideas into fixed expression, and the system is largely responsible for determining the expressive elements in the output.”   “No matter how many times a prompt is revised and resubmitted, the final output reflects the user’s acceptance of the AI system’s interpretation, rather than authorship of the expression it contains.” “The issue is the degree of human control, rather than the predictability of the outcome.” “…where a human inputs their own copyrightable work and that work is perceptible in the output, they will be the author of at least that portion of the output.” (Similar to derivative works protection) “…inclusion of elements of AI-generated content in a larger human-authored work does not affect the copyrightability of the larger human-authored work as a whole.” “Copyright protection remains available where AI functions as an assistive tool that allows human authors to express their creativity.” “... existing legal doctrines are adequate and appropriate to resolve questions of copyrightability.” 

The Copyright Office has just released the second of three reports on the intersection of copyright and artificial intelligence. This report focuses on copyright protection eligibility and the ability to register and defend the copyright. The report finds that the existing laws do not need to be changed. The report also clarifies that while prompt output is itself outside of copyright, the human authorship involved in extensive selection and arrangement of AI generated content is eligible for copyright protection, just as it is eligible for copyright protection in the context of public domain works. Equally important, the use of AI to augment human creative processes does not strip those efforts of authorship, so "the use of AI to assist in the process of creation or the inclusion of AI-generated material in a larger human-generated work does not bar copyrightability." The report will be very important for the creative industries struggling to balance AI enhancement tools within the human-centered authorial process.