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🇺🇸🎼Cross-Border AI Music on Trial Independent musicians in Illinois have filed the first U.S. federal lawsuit targeting foreign-owned AI music generators, alleging copyright infringement and unfair practices by Mureka, an AI platform operated by Kunlun Tech Co., Ltd and Skywork AI Pte. Ltd. In Attack the Sound et al. v. Kunlun et al., plaintiffs claim that Mureka was trained on copied and stored sound recordings and musical works without permission, and that users can upload songs as “reference tracks” to imitate music or lyrics without consent or compensation. The complaint seeks injunctive relief and damages, alleging violations of U.S. copyright law, the DMCA, and the Illinois Biometric Information Privacy Act, including claims tied to voiceprints. Plaintiffs argue that Mureka—marketed as an “ultimate AI song generator” and used by more than 10 million users—directly competes with creators as a cheaper substitute for human creativity, disproportionately harming independent artists lacking label bargaining power. Filed by counsel from Loevy + Loevy, the case follows similar actions against U.S.-based AI music firms and is positioned as a landmark test of whether large-scale AI music systems owned abroad can operate in the U.S. market while respecting domestic IP and biometric protections. #AI#Copyright#MusicIndustry#IP

🇬🇧UK Data Bill Stalls Over AI Copyright Clash The UK’s proposed Data (Use and Access) Bill has hit a critical impasse as the House of Lords pushes back against provisions that would allow AI developers to train on copyrighted material without disclosing their datasets. A Lords amendment would require transparency about training data — a move the government resists. The legislation now enters a high-stakes “ping-pong” phase between parliamentary chambers, risking collapse if consensus is not reached. This standoff is more than political choreography — it exposes the growing fracture between innovation policy and cultural rights. As the UK tries to position itself as an AI leader, lawmakers must now choose: enable opaque AI development or embed enforceable protections for creators. #AI#Copyright

🇬🇧The Tony Blair Institute Released a Report on intersection of Arts and AI The Tony Blair Institute (TBI) issued a report ‘Rebooting Copyright: How the UK Can Be a Global Leader in the Arts and AI’. The report emphasises that countries that “embrace change and harness the power of artificial intelligence in creative ways will set the technical, aesthetic, and regulatory standards for others to follow.” The authors think that “bold policy solutions are needed to provide all parties with legal clarity and unlock investments that spur innovation, job creation, and economic growth.” The TBI proposes that the solution lies not in clinging to outdated copyright laws but in allowing them to “co-evolve with technological change”. The report also delves into the disagreement between rights holders and developers on copyright, the wider implications of copyright policy, and the serious hurdles the UK’s text and data mining proposal faces. #AI#Copyright

🇺🇸Federal Judge Rejects UMG’s Injunction Against Anthropic A U.S. federal judge denied Universal Music Group’s request to block Anthropic from using song lyrics to train its AI model, Claude, citing a lack of “irreparable harm.” This decision is a setback for music publishers, who argue that Anthropic has infringed on lyrics from at least 500 songs without permission. The broader lawsuit, filed by UMG, Concord, and ABKCO, is still ongoing. While UMG remains confident in its case, Anthropic welcomed the court’s decision, calling the injunction request “disruptive and amorphous.” This ruling highlights the ongoing legal battle over AI training data and copyright enforcement in the music industry. #AI#Copyright

🇬🇧Paul McCartney urges government crackdown on AI copyright In his recent interview Paul McCartney has called on the UK government to take action against AI “ripping off” creative professionals. He also criticized proposals that would allow AI developers to use creators’ content without their consent, unless rights holders opt out. “When you’re passing a bill, make sure you protect the creative artists, or you won’t have any,” said McCartney. #AI#Copyright

USA: New Bill Proposes Disclosure of AI Training Data A proposed bill spearheaded by Rep. Adam Schiff seeks to address concerns regarding the use of copyrighted materials in training artificial intelligence models. Dubbed the Generative AI Copyright Disclosure bill, it mandates tech companies to disclose any copyrighted materials utilized in their AI training datasets. The bill requires comprehensive reports detailing the copyrighted content and associated URLs to be submitted to the Copyrights Register. Additionally, any modifications to the dataset must be reported. Companies must submit these reports at least 30 days before releasing AI models trained on the disclosed datasets to the public. While not retroactive, the bill applies to any subsequent changes made to existing AI platforms' training datasets. Although developers argue that their models are trained on publicly available data, concerns persist regarding the use of copyrighted materials without explicit consent. The bill enjoys support from various industry groups, including the Writers Guild of America, the Recording Industry Association of America, and others. Notably, the Motion Picture Association has not backed the initiative. #AI#copyright

🇺🇸Universal Settles with AI Music Platform Udio Universal Music Group settled its copyright lawsuit against AI music generator Udio and announced a new joint venture to launch a licensed AI music platform in 2026. The deal includes a financial settlement and licensing for UMG's catalog, with the future platform allowing users to remix songs and create in artists' styles. Artists who opt in to the coming platform will be compensated for both model training and when their songs are remixed. #AI#IP

📖Copyright Risk in Production LLMs: New Evidence of Text Extraction A new paper, “Extracting books from production language models,” examines whether copyrighted training data can be extracted from closed, production-grade LLMs despite deployed safety measures. The authors test a two-phase method: an initial feasibility probe (sometimes using Best-of-N jailbreaks) followed by iterative continuation prompts, on Claude 3.7 Sonnet, GPT-4.1, Gemini 2.5 Pro, and Grok 3. Extraction success is measured using an nv-recall metric based on longest common substrings. The study finds that extraction remains possible. For Gemini 2.5 Pro and Grok 3, no jailbreak was required to extract substantial portions of "Harry Potter and the Sorcerer’s Stone" (nv-recall 76.8% and 70.3%). Claude 3.7 Sonnet and GPT-4.1 required jailbreaks; in some cases, jailbroken Claude produced near-verbatim outputs of entire books (nv-recall 95.8%). GPT-4.1 showed lower extraction success and eventually refused to continue after many attempts. The authors conclude that memorization and extractability of in-copyright text persist as risks in production LLMs, even with model- and system-level safeguards, keeping unresolved copyright and compliance questions squarely in scope. #AI#Copyright#LLMs#AIRegulation#GenerativeAI#IP

🇺🇸Apple Faces Class Action Over Alleged Use of Pirated Books to Train Apple Intelligence Apple Inc. is facing a class action lawsuit in California federal court, accused of using thousands of pirated books to train its generative AI model, Apple Intelligence. The suit was filed by neuroscientists Susana Martinez-Conde and Stephen Macknik, professors at SUNY Downstate Health Sciences University, who claim their own copyrighted works were among the materials used without consent. The complaint alleges that Apple relied on “shadow libraries” of pirated books to train its system, including Champions of Illusion and Sleights of Mind. The filing notes that Apple’s market value surged by more than $200 billion the day after the AI’s launch: “the single most lucrative day in the company’s history.” The plaintiffs seek financial damages and a court order to stop the alleged misuse of their works. #AIlaw#Copyright#GenerativeAI#IP

AI and Copyright: CanLII Challenges Caseway Over Use of Court Data The Canadian Legal Information Institute (CanLII) has filed a lawsuit against AI-powered legal research startup Caseway, claiming the service unlawfully uses its enhanced court decisions to build its own database. CanLII asserts that the data it offers is copyrighted due to significant editorial work, including cataloging and indexing. However, Caseway's founder, Alistair Vigier, denies using CanLII’s enhanced data, arguing that their platform accesses only original court records and does not store any copyrighted content from CanLII. CanLII’s claim highlights the ongoing debate around access to legal information and copyright, echoing recent cases involving other legal databases. Interestingly, despite the lawsuit, Caseway reports a surge in interest, with over 200 new sign-ups and growing investor interest. As both parties aim to support access to legal information, this case emphasizes the importance of clear policies on AI data use in legal tech. #AI#Copyright#LegalTech

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