Sidd Bhattacharya’s Post

The next stage of conflict between legacy content owners and upstart generative AI companies began yesterday. In this case the owners of rights to "human musical expression" -- major record labels representing the thousands of musicians and millions of songs -- sued two genAI companies for alleged copyright violations, asserting these companies used copyrighted material without consent to train their AI models, resulting in the unauthorized reproduction of songs. I find genAI-music to be obviously not human and a little off-putting, but it is here to stay; more to come on this subject. https://lnkd.in/dkX7wFnM

what is the future of AI in the music industry? Company’s like Suno, which are based on AI, keep getting sued due to copyright infringement. Will the industry ever be able to get to a point where AI is actually used as an enhancement tool? Or will it continue to build controversies? Check out more on this from this article! https://lnkd.in/etBp8eyv #fsbmt #ai

AI and the Music Industry An AI-generated Drake song has sparked a debate about copyright and the future of music. The song "Heart on My Sleeve" features the voice of Drake rapping over a beat by Metro Boomin. It was uploaded to TikTok by an unknown user, @ghostwriter977, and quickly went viral. The song's origins are shrouded in mystery. Some speculate that it is Drake's publicity stunt, while others believe it is the work of a crypto-adjacent startup. Universal Music Group, Drake's record label, denied involvement but sent takedown notices to streaming services. As AI technology develops, creating realistic forgeries of popular artists will become increasingly easy. This raises several copyright questions. - Who owns the rights to an AI-generated song? - Should artists be compensated for using their voice and likeness in AI creations? The legal battle over "Heart on My Sleeve" is just beginning, but it could have far-reaching implications for the future of music. https://lnkd.in/g8kbfYCY

Major music companies are suing generative AI startups Suno and Udio, alleging their AI models that create music infringe on copyrights. The lawsuit highlights the debate around training data. Plenty of high-quality, uncopyrighted text can be used for training. But that isn’t the case for music. This is a classic case of data moat competitive advantages. https://lnkd.in/eZxQD3jq #ai #music #copyright  #datamoat

An important precedent may be set here (if it progresses to a hearing) with the main issue revolving around Suno and Udio using copyrighted music to train their AI models without obtaining proper licenses or compensating the artists/rightsholders. The infringement claim is seemingly pretty clear-cut but with AI not going anywhere, let's not go down the Napster path and seek to litigate against what may well be a future revenue stream. Hopefully it can be a more proactive approach in looking at how a licensing (and appropriate compensation) regime can be agreed upon between rightsholders and AI companies

As widely covered in the media last week, our trade group the RIAA has announced legal action on behalf of members against generative AI companies Suno and Udio for infringement of US federal copyright law by each company on a massive scale. Suno and Udio allow users to generate digital music files that mimic genuine human created sound recordings in response to basic prompts, but as the cases make clear, these products can only work the way they do by copying vast quantities of sound recordings from artists across every genre, style, and era. At Sony Music, we are embracing AI and working with innovative start-ups that use AI ethically and responsibly. Like previous waves of new tech, innovation in AI should be based on business partnership between the creative and tech sectors that respects the value of artists and keep humans at the center of creativity.

GEMA Introduces AI Licensing Model: GEMA, a German performing rights organization, has developed a licensing model for AI providers to address the use of copyrighted music in AI training and creation. - Market Potential: A study by Goldmedia predicts the generative AI music market to reach over $3 billion by 2028. - Balancing Technology and Creativity: GEMA aims to balance technological progress with the protection of creative work through its licensing approach. - Fair Remuneration: The model proposes that authors should receive ongoing compensation beyond a one-time payment for training data. - Industry Impact: GEMA believes that fair licensing is essential for the entire music industry. https://lnkd.in/gjiswbyn

🎵 AI is revolutionizing #music creation, allowing for instant song generation and lyrics. But is it a threat to artists? Technology has always driven #innovation in music, and #AI is the latest tool pushing boundaries. From creating melodies in seconds to cloning voices and beyond, AI is reshaping the industry. But with these advancements come complex questions about copyright, creativity, and the future of music. Can AI truly replace human artistry, or does it simply enhance it? 🤔 About the Author: Yuri Berchenko, a speaker at this year's Data Innovation Summit MEA, is an expert in digital and entertainment with 15 years of experience in Big Tech. He has led product partnerships with companies like Samsung, Vodafone, and PayPal, and recently shared insights on AI's transformative potential in digital entertainment. https://lnkd.in/dCpakiTx #musicinnovation #techrevolution #copyright #musicindustry #artificialintelligence #futureofmusic #voicecloning

Resemble AI has released DETECT-2B, which they claim has an accuracy rate of 94% in identifying music deepfakes. The model can be used to flag AI-generated content on platforms like YouTube and provide record labels with tools to protect their artists. #ai #music #artificialintelligence #deepfake #deepfakes #copyright #generativeai #misinformation #technology