Sunil Nair’s Post

(Forbes) In order for generative AI systems to work, they need training data. And in the last week, more companies have taken a stand against AI companies using theirs without permission. ▪️ One of these fights will take place in the traditional place for copyright disputes: The court system. Three heavy-hitters in the music industry—UMG, Warner and Sony—sued AI music generating platforms Suno and Udio AI, accusing them of stealing their music. ▪️ The lawsuit says the AI music platforms use “massive and ongoing infringement” as they take copyrighted songs to train their LLMs. ▪️ In a statement shared with Forbes, Suno CEO Mikey Shulman said Suno “prize(s) originality” and tried to explain to the record labels that its technology is “designed to generate completely new outputs, not to memorize and regurgitate pre-existing content,” but Shulman said the labels “reverted to their old lawyer-led playbook.” #music #ai #aimodels #aimodeltraining #copyright #songs #llm #llmtraining #trainingdata #infringement #musicindustry https://lnkd.in/g53KexD6

The most interesting thing about the major record companies suing the top generative AI music companies is how they identify the infringements... Right now, the lawsuits are using the content created by AI to find violations ie. they produce a song that is extremely similar to some copyright protected music. This is the same way that the New York Times identified the infringement when they sued OpenAI for using its articles in their training dataset. But new studies show that we can prevent AI models from producing copyrighted content even if they learn from copyrighted materials. AI companies will of course be implementing this. In the future it will be far harder for copyright owners to claim infringements without access to the source datasets. AI companies argue that using the data falls within fair use. Some companies, like Midjourney, put the onus on the user to not generate copyright content by including it in their terms of use. All AI software is at its core, predictive. It works by finding patterns and making predictions based on datasets. Ie. A model trained only on techno will be unable to make country music. Because of this, it’s the enormous, diverse (public) datasets that make these products possible. For AI companies, one of your main competitive advantages is your datasets. If someone else owns them this could be a problem. https://lnkd.in/e4VA4ahd

Beating, voices, chord progressions in the world of music catch our attention and build the taste and preference. All too often, precisely the same features are carried over from one author to another; the boundary between creative influence and plagiarism is very blurred indeed. Primarily, this is why copyright laws have been decreed. Fast forward to now, where we are living in an era in which AI, with speed and all formulations of learning systems whatsoever, is challenging the essence of any field existing among itself, based on a process and outcome of creativity of which music is pinnacle. Until now, there was a discussion over AI and how it relates to intellectual property, but in a recent outburst, music rights owners moved to take AI companies to court, claiming that AIs copied music content without permission. The ball is in place for setting clear regulations and ethical guidelines regarding the use of AIs in creative industries where music is, of course, the first. Music creation and innovation truly lay in a future in which these challenges are faced while the first creators' rights remain intact and technological advancements are embraced. A cool article on the topic is here: https://lnkd.in/emMgXR6x #AI #Copyright #Innovation

The intersection of artificial intelligence and the creative industries is heating up. 🔥 The latest twist? The RIAA (Recording Industry Association of America) has filed lawsuits against AI music services, Suno and Udio, alleging copyright infringement. This marks a significant moment for artists, AI developers, and the entertainment industry as a whole. These platforms leverage AI to create music inspired by existing works. While the technology pushes creative boundaries, it also raises critical questions about intellectual property and the rights of original artists. 🎤 Are we entering an era where copyright law needs to evolve to address AI creativity? 🎹 Can AI-generated music coexist with human artistry without legal battles? 📜 And what does this mean for the future of AI innovation in the music industry? As creators, technologists, and music lovers, these issues affect us all. It’s a fascinating time to explore the balance between innovation and protection in the entertainment world. What are your thoughts on this legal showdown?💡 #AI #MusicIndustry #Copyright #Innovation #ArtificialIntelligence https://lnkd.in/eCb2tHiH

As more record labels begin pursuing legal action against AI music generating companies, here is a snapshot of why they are beginning to do so: 1. Copyright infringement: AI music generators are trained on copyrighted material without proper licensing or compensation. 2. Loss of revenue: AI-generated music compete with human-created music, potentially reducing income for artists and labels. 3. Artistic integrity: AI-generated music diminishes the value of human creativity and artistry. 4. Unfair competition: AI companies are profiting from the work of human artists without proper compensation or attribution. 5. Intellectual property protection: Labels might seek to establish legal precedents to protect their assets in the evolving landscape of AI-generated content. 6. Control over derivative works: AI-generated music constitutes unauthorized derivative works based on copyrighted material. 7. Preservation of industry roles: The AI music generation is a threat to traditional industry structures. 8. Data rights: The use of their artists' data to train AI models violates data protection laws. Curious to see how this unfolds... #ai #musicrights #copyrightlaw

My latest newsletter just dropped. All about how generative AI music companies Suno and Udio are trying to turn the tables on the major label record companies that sued them for copyright infringement (for unlicensed training on their songs) -- positioning them as "the bad guys" in their court papers. In their Answer to the labels' complaint, those genAI companies - for the first time - conceded that they trained on reams of copyrighted works (after deflecting those questions in the past). And they pushed back unapologetically, writing the following: "It is no secret that the tens of millions of recordings that Suno’s model was trained on presumably included recordings whose rights are owned by the Plaintiffs in this case … Accordingly, Suno’s training data includes essentially all music files of reasonable quality that are accessible on the open Internet ….” And #Suno's and #Udio's arguments go beyond "fair use." They allege bad antitrust-like conduct on the part of the major labels. Read about it all in my analysis - and let me know what you think in the comments. #media #entertainment #music #ai #artificialintelligence #tech #business #musicians #artists Recording Industry Association of America® (RIAA) Universal Music Group Warner Music Group Sony Music Entertainment Jen Music AI

🎵🎤 Major record companies like Sony Music Entertainment, Universal Music Group, and Warner Music Group have taken legal action against AI music generators Udio and Suno, accusing them of using copyrighted material to train their AI systems without permission. This groundbreaking case highlights the ethical and legal challenges posed by AI in the music industry. 📚🎧 These AI companies allow users to create songs with a simple text command, leveraging vast amounts of copyrighted sound recordings to train their models. The lawsuits argue that this practice constitutes massive-scale copyright infringement. 🗣️💡 Ken Doroshow, Chief Legal Officer of the RIAA, emphasizes the importance of these lawsuits in setting clear boundaries for the responsible development of generative AI systems. Udio and Suno, however, defend their methods, claiming their technology is designed to generate original music, not replicate existing works. This legal battle mirrors other recent lawsuits in creative industries, from journalism to photography, against AI firms for similar practices. 🚀✨ As AI continues to revolutionize industries, this case will be pivotal in shaping the future of ethical AI development. What are your thoughts on AI-generated music and the copyright implications? Let's discuss! #AI #MusicIndustry #Copyright #Innovation #TechEthics

You're about to discover why music publishers are suing AI companies - and it's not for the reason you think. Therefore, this case between Anthropic and major music labels isn't just about copyright law. It's a battle over the future of creative expression in the age of artificial intelligence. On one side, you have artists and publishers fighting to protect their intellectual property from being used without permission or compensation. But on the other, AI companies argue that training models on copyrighted works falls under fair use - a key exception in copyright law that allows limited use of protected material. The outcome of this lawsuit could set a major precedent for how AI systems are developed and deployed moving forward. Will we see more guardrails and oversight of training data? Or will courts grant AI companies broad leeway to learn from existing creative works? The stakes couldn't be higher as we grapple with the transformative potential and thorny challenges posed by generative AI. One thing's for sure: the delicate balance between technological innovation and creative rights is about to be severely tested. #AICopyrightBattle #IntellectualPropertyRights #CreativeExpressionInAI #InnovationVsRights

Pioneering Legal Challenge: AI in the Music Industry Universal Music Group, Sony Music, and Warner Records have initiated copyright lawsuits against AI companies Udio and Suno for using copyrighted music to train their AI models. Highlighted by Reuters as the first of its kind, these lawsuits signal the music industry's proactive stance against the challenges posed by music-generating AI, potentially reshaping the future development of generative AI in creative fields. As the industry navigates these technological advancements, it's crucial to consider the implications for both creators' rights and ethical AI use, ensuring a balanced approach for all involved. Ars Technica Benj Edwards Danny Goh Mark Esposito, PhD Terence Tse, PhD #MusicIndustry #CopyrightLaw #ArtificialIntelligence #TechNews #Transparency #EthicalAI https://lnkd.in/gF8G9f_A For more discussion, please visit https://lnkd.in/gqDPtry3.

A surge in lawsuits against AI music generators like Suno and Udio underscores a massive moment in music... Major record labels, with coordination by the RIAA, are taking a firm stand against what they call "mass infringement" of copyrighted material. This legal battle emphasizes a fundamental question: Does using copyrighted music to train AI models constitute fair use? While these AI companies argue that it is innovation, the music industry says that unlicensed use threatens artists' brands and livelihoods. The outcome of these lawsuits will set a precedent for how AI interacts with intellectual property, not just in music but entertainment as a whole. I'm very intrigued to see how this plays out as someone who sees both the benefits and detriments of AI. What do you think? #ai #musicindustry #lawsuit #compliance https://lnkd.in/grvzd8Fu