artificial intelligence
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Warner Music Group CEO Robert Kyncl has a message for a music industry facing disruption from artificial intelligence that’s often likened to the rise of file-sharing a quarter century ago: “You have to embrace technology, because it’s not like you can put technology in a bottle,” he said during an onstage interview at the Code […]
Lyor Cohen discussed “a future where generative AI has a profound impact on music” at the annual Made on YouTube event on Thursday (Sept. 21). YouTube’s longtime global head of music is nothing if not enthusiastic about artificial intelligence and its potential ability to supercharge music-making. Cohen told the attendees that “AI tools are opening up a new playground for creativity;” AI “can be used by artists to amplify and accelerate their creativity;” and AI can usher in “a new era of musical creativity.”
Cohen was joined by Charlie Puth, who played some piano and showed off his beatboxing, and Warner Music Group CEO Robert Kyncl. Kyncl acknowledged that not everyone in music is as excited about AI as Cohen seems to be: “Change is unsettling; we are in that period of change.” He proposed charting a path forward where AI enthusiasts can gain from the technology while artists who are wary of it are somehow shielded from its impacts.
Artists “will create and they will use all kinds of tools to create… that’s their job,” Kyncl said. “It’s our job, the platforms and the music industry, to make sure that artists like Charlie who lean in [to AI] benefit. It’s also our job together to make sure that artists who don’t want to lean in are protected.” He pointed to the success of YouTube’s Content ID system, which helps the platform track user-generated content, as a potential model, because creators can choose to monetize that UGC or block it depending on their preferences.
YouTube previously signaled its interest in being part of music’s AI-driven future in August when it announced an “AI Music Incubator” that will include input from Anitta, Juanes, Ryan Tedder, Rodney Jerkins, and many others.
“This group will explore, experiment and offer feedback on the AI-related musical tools and products they are researching,” Universal CEO Lucian Grainge wrote in a blog post. “Once these tools are launched, the hope is that more artists who want to participate will benefit from and enjoy this creative suite.”
At the Made on YouTube event, CEO Neal Mohan also discussed a suite of new tools for creators that aim to put “the creative power of AI into the hands of billions of people.” These include Dream Screen, which “lets you create AI-generated video or image backgrounds for Shorts by typing in an idea,” and a search function that “will act like a music concierge” when it comes time to find a track to place into a video. “Our creator can just describe her video, and if she wants she can even include information about the length or type of song she’s looking for, and Creator Music suggests the right track at the right price,” Mohan explained.
Jade Beason, a YouTube creator, told the crowd she “spend[s] a lot of time trying to find the right music for videos” and is sometimes “guilty of actually just using the same song [over again] because I just can’t find the right one.” “Music has the ability to change how your audience actually feels when they’re watching your content,” she continued. “It’s the difference between someone seeing a video of yours and laughing or crying… so the idea that we can do this easily amongst everything else is actually quite wild.”
The significance of Washington washed over me as my flight dodged the historic monuments and we descended into DCA. An interesting metaphor for the opportunities and challenges of advocating for music creators’ rights in today’s lightning round race into the future.
I have visited many times over the years to fight for the rights of songwriters on Capitol Hill. This week, songwriter members of the American Society of Composers, Authors and Publishers (ASCAP) will once again be with me in Washington for “We Write the Songs,” a performance held at the Library of Congress and co-presented by The ASCAP Foundation. Hit songwriters will play for Members of Congress and others and share the stories behind their beloved songs. As songwriters, we are also here to affirm our rights as artificial intelligence (AI) and other technologies seek to use our creations.
ASCAP is a unique entity in the music world — we are the only performance-rights organization (PRO) founded and governed by democratically elected music creators and publishers. As a membership organization, we represent nearly a million songwriters, composers, lyricists and music publishers across every genre. We are also the only U.S. PRO that operates on a not-for-profit basis so, unlike others whose profits may go elsewhere to corporate dividends and private equity investors, we put creators first in everything we do.
As the chairman of ASCAP’s board, I have seen our industry go through immense changes. When music moved from records to tapes to CDs to pirated online listening, our members descended upon Washington to ensure the rights of songwriters were respected across new platforms and listening experiences.
Emerging technologies – whether it be streaming or AI – have always presented our industry both challenges and opportunities. But in every instance, we as songwriters are often the first to feel the effects when technology outpaces the law.
During Songwriter Advocacy Day, held the day after We Write the Songs, ASCAP members – the songwriters, composers and publishers that form the soundtrack to our lives – will meet with Members of Congress and urge them to protect creators in the age of AI.
At ASCAP, we have developed six guiding principles for AI and we need Congress to act to uphold them:
Human Creators First, prioritizing rights and compensation for human creativity
Transparency, in identifying AI vs. human-generated works and retaining metadata
Consent, protecting the right for creators to decide whether their work is included in an AI training license
Compensation, making sure creators are paid fairly when their work is used in ANY way by AI, which is best accomplished in a free market, NOT with government-mandated licensing that essentially eliminates consent
Credit, when creators’ works are used in new AI-generated music
Global Consistency, an even playing field that values intellectual property across the global music and data ecosystem
While most songwriters work behind the scenes, our work has enormous value to an industry that generates $170 billion a year for the U.S. economy. But we have long been over-regulated — we are some of the most heavily controlled small business owners in the country. Roughly three-quarters of the average American songwriter’s income is subject to federal government regulations. All the while, big media and tech companies are consistently looking for ways to pay songwriters less by regulating us even more.
ASCAP has embraced new and emerging advances in technology, and we have the capacity and infrastructure to manage it at scale. But it has remained painfully clear that any new technology needs to respect existing copyright law. Music creators are concerned about the threat to their livelihood and 8 out of 10 believe A.I. companies need better regulation. Our mission at ASCAP is to help music creators navigate the future while protecting their rights and livelihoods, and enabling the type of innovation that will move the entire music industry forward.
Just because AI requires a high volume of inputs, that does not mean it cannot be licensed or deserves an exception under the law. Just as we’ve approached the streaming market, we believe the opportunities presented by AI can be realized in the free market. To do so, we need lawmakers to stand with songwriters and not give big tech and AI companies a free ride with government-mandated licenses for AI.
AI is a new challenge, but we are well positioned to meet this challenge as we always have in the face of new technologies. We are ready to help chart the path, and we look forward to sharing those insights — and breaking it down on the dance floor — with the same lawmakers whose partnership and enthusiasm has helped us to fight for the rights of songwriters as new technologies emerge.
ASCAP president and chairman of the board Paul Williams is an Oscar-, Grammy- and Golden Globe-winning composer and lyricist who has written “The Rainbow Connection,” “We’ve Only Just Begun,” and many other hits.
TikTok announced new tools to help creators label content that was generated by artificial intelligence. In addition, the company said on Tuesday (Sept. 19) that it plans to “start testing ways to label AI-generated content automatically.”
“AI enables incredible creative opportunities, but can potentially confuse or mislead viewers if they’re not aware content was generated or edited with AI,” the company wrote. “Labeling content helps address this, by making clear to viewers when content is significantly altered or modified by AI technology.”
As AI technology has become better — at generating credible-looking images or mimicking pop stars’ voices, for example — and more popular, regulators have expressed increasing concern about the technology’s potential for mis-use.
In July, President Biden’s administration announced that seven leading AI companies made voluntary commitments “to help move toward safe, secure, and transparent development of AI technology.” One key point: “The companies commit to developing robust technical mechanisms to ensure that users know when content is AI generated, such as a watermarking system. This action enables creativity with AI to flourish but reduces the dangers of fraud and deception.”
Voluntary commitments are, of course, voluntary, which is likely why TikTok also announced that it will “begin testing an ‘AI-generated’ label that we eventually plan to apply automatically to content that we detect was edited or created with AI.” Tools to determine whether an image has been crafted by AI already exist, and some are better than others. In June, The New York Times tested five programs, finding that the “services are advancing rapidly, but at times fall short.”
The challenge is that as detection technology improves, so does the tech for evading detection. Cynthia Rudin, a computer science and engineering professor at Duke University, told the paper that “every time somebody builds a better generator, people build better discriminators, and then people use the better discriminator to build a better generator. The generators are designed to be able to fool a detector.”
Similar detection efforts are being discussed in the music industry as it debates how to weigh AI-generated songs relative to tracks that incorporate human input.
“You have technologies out there in the market today that can detect an AI-generated track with 99.9% accuracy, versus a human-created track,” Believe co-founder and CEO Denis Ladegaillerie said in April. “We need to finalize the testing, we need to deploy,” he added, “but these technologies exist.”
The streaming service Deezer laid out its own plan to “develop tools to detect AI-generated content” in June. “From an economic point of view, what matters most is [regulating] the things that really go viral, and usually those are the AI-generated songs that use fake voices or copied voices without approval,” Deezer CEO Jeronimo Folgueira told Billboard this summer.
Moises, another AI-technology company, dove into the fray as well, announcing its own set of new tools on Aug. 1. “There’s definitely a lot of chatter” about this, Matt Henninger, Moises’ vp of sales and business development told Billboard. “There’s a lot of testing of different products.”
Independent musicians will have more power to negotiate with artificial intelligence developers over “fairer rates and terms for the use of their music” if a newly introduced version of the Protect Working Musicians Act passes the U.S. House, according to Rep. Deborah Ross (D-N.C.).
“AI threatens the creator — finding the person or entity that has co-opted your work and turned it into something else and then going after them is so onerous,” Ross, who sponsored the revised act and sits on the House Judiciary Committee, says in a phone interview from Washington, D.C. “That’s one of the reasons for this bill — to allow people to do this collaboratively. We need to do this sooner than later. We’re seeing this threat every single day.”
The Protect Working Musicians Act, which Rep. Ted Deutch (D-Fla.) introduced in October 2021 a few months before he left Congress, would allow indie artists to collectively bargain for royalty rates with streaming giants such as Spotify and Apple Music. As it stands, the major labels that own most worldwide master recordings have enormous negotiating power to set rates; the act would “give the smaller independent more of a voice,” says Jen Jacobsen, executive director of the Artist Rights Alliance, which worked with Ross on revising the bill.
Ross picked up the bill when Deutch announced he would not return to the House, then held hearings with indie artists in her district, which includes Raleigh. Since then, Ross says, “The AI issue has become even more important.” The revised act would allow artists to behave like plaintiffs in a class-action suit, she adds, “fighting for their rights” with a central attorney.
“Our work is being scraped and ingested and exploited without us even knowing,” Jacobsen says. “Adding the AI platforms seemed like a relevant and important thing to do.”
Writers and artists have warned for months that AI could transform their ideas into new works with no way to get paid for the usage. In April, “Heart On My Sleeve,” an AI-created song that mimics the voices of Drake and The Weeknd, landed millions of TikTok, Spotify and YouTube plays. At the time, Sting told the BBC: “The building blocks of music belong to us, to human beings. That’s going to be a battle we all have to fight in a couple of years: defending our human capital against AI.”
“Musicians are really worried about this — not just the big-name ones, but small artists, too. Small ones, especially,” Jorgensen says. “The most important thing for this bill is that small, independent artists and record labels need to be recognized and have each others’ backs.”
It’s unclear when the House might vote on the revised bill — or if it would pass. “As you can see in Congress, lots of bills aren’t passing — like the budget!” Ross says. “But this has been a very bipartisan issue in the judiciary committee. It’s the perfect time to bring these issues up.”
Stability AI, one of the world’s most prominent generative AI companies, has joined the likes of Google, Meta and Open AI in creating a model that generates clips of music and sound. Called “Stable Audio,” the new text-to-music generator was trained on sounds from the music library Audio Sparx.
Stability touts its new product as the first music generation product that creates high-quality, 44.1 kHz music for commercial use though a process called “latent diffusion” — a process that was first introduced for images through Stable Diffusion, the company’s marquee product. Stable Audio uses sound conditioned on text metadata as well as audio file duration and start time to allow for greater control over the content of the generated audio.
By typing prompts like “post-rock, guitars, drum kit, bass, strings, euphoric, up-lifting, moody, flowing, raw, epic, sentimental, 125 BPM,” users can create up-to 20 seconds of sound through its free tier, or up-to 90 seconds of sound via its pro subscription.
In its announcement, the company touts Stable Audio as a tool for musicians “seeking to create samples to use in their own music.” The music generated could also be used to soundtrack advertisements and creator content, among other commercial applications.
“As the only independent, open and multimodal generative AI company, we are thrilled to use our expertise to develop a product in support of music creators,” says Emad Mostaque, CEO of Stability AI. “Our hope is that Stable Audio will empower music enthusiasts and creative professionals to generate new content with the help of AI, and we look forward to the endless innovations it will inspire.”
This is not the AI giant’s first foray into audio and music AI. The company already has an open-source generative audio label, HarmonAI, which is designed to create accessible and playful music production tools “by musicians for musicians.” Parts of the HarmonAI team, including Ed Newton Rex, its vp of product, took part in the designing of Stable Audio.
Urgent action is needed to protect the United Kingdom’s longstanding success as one of the world’s biggest exporters of music, warns a new report from umbrella trade organization UK Music.
In particular, robust copyright laws must be put in place to ensure that creators and rights holders are shielded from the potential impact of artificial intelligence (AI), says the trade body’s “Manifesto for Music,” published Tuesday (Sept. 12), which calls for increased government support to grow the sector.
In 2021, U.K. music exports totaled £2.5 billion ($3.1 billion) — up 10% on the previous year, but still lower than 2019’s pre-pandemic figures — according to data from UK Music. Those export totals are made up of record sales, publishing revenue, overseas touring by British acts and tourism spending by international tourists attending live shows in the United Kingdom.
When it comes to recorded music, hit albums by Harry Styles, Glass Animals and Ed Sheeran helped British music exports climb to a record high of £709 million ($910 million) last year, maintaining the country’s long-held position as the second largest exporter of music globally after the United States, according to labels trade body BPI.
Overall, the United Kingdom is the world’s third biggest recorded music market, as per IFPI rankings, behind the United States and Japan.
However, the growth of streaming in emerging territories such as Latin America, the Middle East and South Korea has eaten into the United Kingdom’s share of the global music market, which has fallen from a peak of 17% in 2015 to 12% in 2022. To arrest that decline, UK Music has published a five-point plan to boost exports, protect venues and studios, and promote diversity.
Among the trade group’s recommendations is the enforcement of strong copyright protections against generative AI systems, including clear labeling and a requirement for AI developers to keep and disclose records of any music works used for training purposes.
UK Music is additionally asking policymakers to introduce specific personality and image rights into the British legal framework — and ensure that AI-generated music is clearly distinguishable from human-created works.
Last month, a U.K. Parliament committee issued its own report on regulating the use of AI technology in the music and creative industries. One of the committee’s key recommendations was for the British government to commit to abandoning plans for a proposed (and since shelved) new text and data mining (TDM) exception that would allow AI companies to freely use copyright-protected works for commercial purposes.
“It’s critical that we ensure AI enables and supports human artistry and creativity, and does not damage it,” said UK Music interim chief executive Tom Kiehl, echoing the committee’s request to rule out any new TDM exceptions.
“Strong copyright and intellectual property protections must be at the center of any approach when it comes to AI,” said Kiehl.
Other recommendations in UK Music’s manifesto include the introduction of a new tax credit — similar to what’s in place in other European markets and some U.S. states — encouraging new music production in the country.
The trade group, which recently saw chief executive Jamie Njoku-Goodwin exit the London-based organization to work for Prime Minister Rishi Sunak, is also calling for increased investment in music education and for the government to secure a post-Brexit cultural touring agreement with the European Union that would reduce costs for U.K. acts touring Europe.
“Without action, the U.K. risks being overtaken by countries who are more proactive and ambitious in promoting their music sectors,” said Kiehl.
The United Kingdom’s moves to police the rapidly evolving AI sector come as other countries and jurisdictions, including the United States, China and the European Union, explore their own paths toward regulating the nascent technology.
Global organization of music publishers the International Confederation of Music Publishers (ICMP) has partnered with piracy tracking company MUSO on a new ICMP Anti-Piracy Platform (APP) that aims to combat unlawful uses of member companies’ musical works. ICMP’s membership of major and independent music companies spans the globe, encompassing 76 national trade associations on six […]
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A U.K. Parliament committee is calling on the British government to ensure that artificial intelligence (AI) developers are prevented from the free use of copyright-protected musical works for training purposes — and to commit to abandoning much-criticized plans that opponents say would significantly weaken copyright protections for artists and rights holders.
A report from the Culture, Media and Sport (CMS) Committee published Wednesday (Aug. 30) says that any future legislation governing the use of AI technology in the United Kingdom, the world’s third-biggest music market, must not risk “reducing arts and cultural production to mere ‘inputs’ in AI development.”
Committee members also state that urgent action must be taken to improve protections for artists and creators against the misuse of their likenesses, image rights and performances by emerging technologies such as generative AI.
The report comes more than a year after U.K. government body The Intellectual Property Office (IPO) first proposed the introduction of a new text and data mining (TDM) exception allowing AI developers to freely use copyright-protected works for commercial purposes.
Those plans, announced by the IPO last June, gave rights holders no option to opt out of the TDM exception, although they did state that tech developers would still require “lawful access” to any copyright-protected data, enabling rights holders to agree to license fees and charge for access.
The proposals drew strong criticism from across the creative industries, with Jamie Njoku-Goodwin, CEO of umbrella trade body UK Music, describing them as a “green light to music laundering.” In response, the government announced in February that it had listened to the objections and would no longer be proceeding with the original plans.
The CMS Committee welcomed the change of course but warned that the government’s handling “shows a clear lack of understanding of the needs of the U.K.’s creative industries.”
“The chorus of warnings from musicians, authors and artists about the real and lasting harm a failure to protect intellectual property in a world where the influence of AI is growing should be enough for ministers to sit up and take notice,” said CMS Committee chair Dame Caroline Dinenage in a statement.
Dinenage said the government must follow through on its pledge to abandon plans for a text and data mining exception to copyright-protected works and regain the trust of the creative industries by developing “a copyright and regulatory regime that properly protects them” from the potential risks of AI.
The U.K.’s current legal framework, which contains TDM allowances for non-commercial research purposes while also allowing rights holders to commercially license their work, “provides an appropriate balance between innovation and creator rights,” said the committee report.
The U.K.’s moves to police the rapidly evolving AI sector comes as other countries and jurisdictions, including the United States, China and the European Union, explore their own paths toward regulating the nascent technology.
The EU’s Artificial Intelligence Act, which was first proposed in April 2021 and is now being negotiated among politicians in different branches of government, is leading the way as the world’s first comprehensive legislation around AI. It states that generative AI systems will be forced to disclose any content that they produce that is AI-generated — helping differentiate computer-created works from those authored by humans — and provide detailed, publicly available summaries of any copyright-protected music or data they have used for training purposes.
Other provisions in European law, most notably those contained in 2019’s EU Copyright Directive, also deal with AI and text and data mining exceptions of copyrighted content, such as music, although these are more robust than those initially proposed — and since abandoned — by the U.K. government. These EU provisions include allowing rights holders to stop AI systems from using their content for training purposes, or to limit which ones can in order to license that right.
Responding to the CMS Committee’s recommendations, BPI chief executive Jo Twist said it was “essential that artists and rightsholders can work in partnership with technology and that policies do not allow AI to get a free ride, but to always respect human creativity by seeking permission and remunerating the use of creative content.”