AI Copyright Law Guide

🚨 The U.S. Copyright Office has just dropped a MUST-READ report on the copyrightability of works created using generative AI. [Bookmark & download below]. A quick summary of the main points & my comments: "1. Questions of copyrightability and AI can be resolved pursuant to existing law, without the need for legislative change. 2. The use of AI tools to assist rather than stand in for human creativity does not affect the availability of copyright protection for the output. 3. Copyright protects the original expression in a work created by a human author, even if the work also includes AI-generated material. 4. Copyright does not extend to purely AI-generated material, or material where there is insufficient human control over the expressive elements. 5. Whether human contributions to AI-generated outputs are sufficient to constitute authorship must be analyzed on a case-by-case basis. 6. Based on the functioning of current generally available technology, prompts do not alone provide sufficient control. 7. 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. 8. The case has not been made for additional copyright or sui generis protection for AI-generated content." ➡️ My comments: - This is the trickiest part: proving sufficient human control over the expressive elements (item 4 above). Why? - If a person prompts an AI system like Midjourney multiple times to obtain the "perfect image," would it be considered 'sufficient human control' to receive copyright protection? - There is a lawsuit covering a similar argument, where Jason Allen states that he prompted Midjourney 624 times to create the work "Théâtre D'Opéra Spatial" but was denied copyright protection. He is now suing the U.S. Copyright Office. ➡️ Here's what else the report says about the relationship between prompts and sufficient human control: "The Office concludes that, given current generally available technology, prompts alone do not provide sufficient human control to make users of an AI system the authors of the output. Prompts essentially function as instructions that convey unprotectible ideas. While highly detailed prompts could contain the user’s desired expressive elements, at present they do not control how the AI system processes them in generating the output." (page 18) 👉 Read the full report below. 👉 NEVER MISS my AI governance updates, including must-read reports like this one: join 50,400+ readers who subscribe to my weekly newsletter (link below). #AI #AIGovernance #AICopyright #Copyrightability #USCopyrightOffice

Can AI-generated content be copyrighted? It's an interesting question (at least, for an ex-intellectual property law nerd like me) and one which has become a lot clearer as the U.S. Copyright Office recently released a report on the copyrightability of AI-generated works and the findings are game-changing for creators, businesses, and legal experts alike! Here’s what you need to know: 👇 🔹 1. A Prompt Alone Won’t Grant You Copyright Imagine typing a detailed prompt into an AI image generator—like this one: “Professional photo, bespectacled cat in a robe reading the Sunday newspaper and smoking a pipe, foggy, wet, stormy, cinematic lighting…” ➡️ AI-generated output: A cat smoking a pipe, but with unexpected elements—like a human hand holding the newspaper! 📌 Key Takeaway: The Copyright Office concluded that text prompts do not provide enough creative control to establish human authorship. You don’t own the AI’s interpretation. 🔹 2. Uploading Your Own Sketch? You Might Still Own the Copyright What if you upload a hand-drawn sketch into an AI system and it enhances your work? Take this example: A simple human-drawn sketch was used as input, and the AI transformed it into a hyper-realistic image. 📌 Key Takeaway: The Copyright Office ruled that the human-authored elements remain protected, but AI-generated modifications are NOT copyrightable. 💡 What This Means for You: ✅ If you create a completely AI-generated image, you cannot claim copyright. ✅ If you modify an AI output with original, creative input, you may own the copyright to those modifications. ✅ Human authorship is still key! AI can be a tool, but it can’t be the “author.” 🔎 The Big Debate: Should Copyright Laws Change? With AI transforming creative industries, many are asking: Should AI-generated works be eligible for copyright protection? 🤔 💬 What do you think? Should copyright laws evolve to reflect AI’s role in content creation, or should protection remain exclusive to human creators? Drop your thoughts in the comments! 👇🔥 Here's the link to the full report: https://lnkd.in/gm2whfYc #ArtificialIntelligence #Copyright #AIArt #Creativity #IntellectualProperty #MachineLearning #AIRegulations

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

AI and Copyright: A Landmark Clarification. The U.S. Copyright Office has published an important report on AI-enhanced creativity, which holds significant implications for artists, musicians, writers, and creators in various fields. 🔹 What’s Copyrightable? If an artist modifies, arranges, or adapts AI-generated content in a way that demonstrates human creativity, that work may qualify for copyright protection. This means AI can be a tool — but not an author. 🔹 What’s NOT Copyrightable? If a work is entirely generated by AI (e.g., typing a prompt into a chatbot or an AI art generator), it cannot be copyrighted. The Office made it clear: machines can assist, but they can’t hold authorship. 🔹 What’s Next? This decision reinforces that human ingenuity remains central in creative works. But there’s still an elephant in the room: AI models trained on copyrighted works without permission. The Copyright Office is working on a separate report to address licensing, liability, and ethical concerns in AI training. 💡 Why This Matters For businesses and creators leveraging AI, this provides clarity: AI is a powerful tool, but copyright still protects original human contributions. If you’re using AI, your creativity must be evident in the final work for it to be protected. 🚀 What do you think? Does this approach strike the right balance between innovation and protecting human creators? #AI #Copyright #Creativity #DigitalTransformation #ArtificialIntelligence

Any organisation developing or fine tuning AI systems, particularly LLMs, needs to be ALL OVER how their IP is protected. IP protection for model components such as weights is a complex legal issue. Model weights in AI are numerical values that determine the strength of connections between nodes in a neural network. AI models adjust these weights during training to improve predictions or decisions based on input data. This adjustment process allows the model to "learn" from vast amounts of data, fine-tuning its accuracy in tasks such as image recognition or language translation. Traditionally, copyright does not extend to facts or the functional aspects of a creation. Model weights straddle this boundary, being both a product of immense computational effort and a representation of the underlying data on which the AI was trained. Current legal frameworks do not explicitly address the status of AI-generated data, including model weights (however in the USA it seems to be the case AI generated data is not protected by copyright). The principles underlying the EU’s Software and Database Directives provide a foundation for analysis. While the software enabling AI functionalities might be copyrightable as a literary work, the status of model weights is more ambiguous due to their nature as outputs from processing vast datasets, rather than direct human creation. The key question revolves around originality and the role of human authors in the creation process. According to the CJEU, for a work to be protected under copyright, it must be the author's own intellectual creation, reflecting the author's personality and choices (the Painer case). These criteria becomes blurred when considering model weights, where the "creation" process is largely automated and driven by algorithms following predefined objectives. Given the challenges associated with copyright protection, the sui generis rights established under the EU Database Directive offer an alternative approach. These rights protect substantial investments in obtaining, verifying, or presenting the contents of a database, regardless of originality. Model weights could potentially be viewed as part of a database, particularly if one considers the extensive computational resources and expertise required to train AI models. However, this interpretation hinges on whether model weights can be considered a "database" in the legal sense. The Directive's broad definition of databases may provide sufficient ground for this argument, especially given the structured nature of model weights within an AI's architecture. The potential application of copyright or sui generis database rights to AI model weights has significant implications for the commercialisation of AI technologies. Recognising these protections would grant developers legal mechanisms to control the use, distribution, and modification of their AI models, influencing licensing agreements and business models within the AI industry.

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

Can You Copyright AI-Generated Content? The U.S. Copyright Office Weighs In! The U.S. Copyright Office’s latest report (January 2025) tackles one of the biggest questions in the creative and AI space: Can AI-generated content be copyrighted? If you’re an artist, writer, musician, or business using AI tools, here’s what you need to know. Key Takeaways from the Report: 🔹 No Copyright for Fully AI-Generated Content • If AI creates a work without meaningful human input, it cannot be copyrighted. • This applies to AI-generated images, text, music, and video. 🔹 Human Creativity is Key • AI can be a tool in the creative process, but only human contributions are copyrightable. • Examples: • A human drawing enhanced by AI? The original human-made elements are protected. • AI-assisted songwriting? Only human-written lyrics or melodies are covered. 🔹 Prompts Alone Aren’t Enough • Entering a prompt into MidJourney, DALL·E, or ChatGPT doesn’t make you the author. • Why? Because AI interprets prompts in unpredictable ways. 🔹 Case-by-Case Decisions • The Copyright Office will review how much control a human had over the AI output before granting copyright. • Example: In the Randy Travis case, AI helped the artist (who has limited speech) record a song. Since the AI was a tool, the work was copyrighted. 📢 What This Means for You ✅ You CAN use AI in your creative process—just ensure you add original, meaningful contributions. 🚫 You CAN’T copyright purely AI-generated works—even if you spent hours refining prompts. 🤔 AI-assisted creativity is still evolving—new legal challenges and clarifications are expected. 🔍 My Take: The AI Copyright Debate Isn’t Over As an AI futurist and advocate for responsible AI in healthcare and business, I see this as a step toward balancing human creativity with AI assistance. But this report doesn’t address AI training data—a major issue for artists and copyright holders. Should AI companies compensate creators whose work is used to train models? The legal landscape is still evolving. 💡 What do you think? Should AI-generated content be eligible for copyright? Drop your thoughts in the comments! 👇 #AI #Copyright #Creativity #ArtificialIntelligence #DigitalArt #ContentCreation #AIinBusiness #TechLaw

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

On March 18, 2025, the U.S. Court of Appeals for the District of Columbia Circuit ruled that works generated solely by AI without human involvement are not eligible for copyright protection under U.S. law. The case involved computer scientist Stephen Thaler, who developed an AI system known as the “Creativity Machine.” This AI autonomously produced a piece of visual art titled “A Recent Entrance to Paradise.” Thaler sought to register the artwork with the U.S. Copyright Office, listing the Creativity Machine as the author and himself as the owner. The Copyright Office denied the application, citing its policy that copyrightable works require human authorship. Thaler challenged this decision in federal court, but both the district court and the appellate court upheld the Copyright Office’s stance. The appellate court’s opinion emphasized that the Copyright Act of 1976 implies human authorship as a prerequisite for copyright eligibility. The court noted that many provisions of the Act, such as those concerning the author’s life span and the transfer of rights upon death, inherently apply to human creators. Consequently, the court concluded that non-human entities, including AI systems, cannot be recognized as authors under current copyright law. This ruling carries significant business implications. Under current law, content produced entirely by AI immediately enters the public domain, allowing unrestricted commercial use. However, if human creators provide meaningful input or demonstrable control over AI-generated output, copyright protection may still apply. The court offered minimal clarity on defining “meaningful input” or “control,” leaving substantial ambiguity. This issue is far from settled. Additional cases are pending, and congressional intervention remains possible. For now, meticulously documenting human contributions to AI-driven projects is essential. Clear documentation may safeguard your company’s intellectual property—and could transform your human-AI collaborations into strategic revenue opportunities. -s

The US Copyright Office's report on generative AI training is superb - thoughtful, thorough, and clear in rejecting the idea that all gen AI training is fair use. This report is great news for creators and rights holders everywhere - and it's gratifying to see our work at Fairly Trained mentioned. A few of their points are particularly worth calling out: ➡️ 1. A use is less transformative if it ultimately serves the same purpose as the original. 'Transformative', in the context of fair use decisions, doesn't just mean 'something is transformed'. A use is less transformative if it serves essentially the same purpose as the original. They give the example of training audio models on sound recordings: if you do this to create new sound recordings that compete in the same market as the originals, this is clearly less transformative. ➡️ 2. Being 'transformative' is not enough anyway. Even when AI training is transformative, the market effects on the original can outweigh this in the fair use evaluation. ➡️ 3. Market dilution by gen AI weighs against fair use. This is critical. They say: "The speed and scale at which AI systems generate content pose a serious risk of diluting markets for works of the same kind as in their training data. That means more competition for sales of an author’s works and more difficulty for audiences in finding them." They argue that this weighs against a fair use finding, and they remind us that this fourth factor of fair use - the effect on the potential market for or value of the work that's copied - is "undoubtedly the single most important element of fair use", according to the Supreme Court. Many of us have been saying this for a long time, so it's great to see the US Copyright Office - the government body responsible for providing guidance on copyright law - agreeing. And hopefully this will discourage people who promote AI in the UK from repeating the lie that it's established that AI training on copyrighted work without a licence is legal in the US. This report makes it very clear that this view is mistaken. Read the full report here: https://lnkd.in/g_R_gGMK