Protecting artists from AI threat Good Read

The AI, known as MusicLM, used the data to reconstruct the music participants listened to. Nick Cave, the Australian songwriter, recently declared the software a “grotesque mockery of what it is to be human”. Any remaining doubt about ownership as between the user and the creator of the tool can be resolved by contract. For example, the user terms of AIVA, only assign copyright to the user if they pay for certain premium plans, otherwise copyright is owned by AIVA. Don’t miss our large-scale report for a deep dive into how consumer perceptions are shifting across the board. An agile and transparent approach is necessary for any industry evolving with the use of generative AI.

• In his previous roles , he was involved in enabling proactive data driven IT initiatives.
• Meanwhile, back in the UK, real life humans are getting even more creative with the new online medium.
• We don’t know what trained them or whether the creators’ consented or what biases may have been introduced unwittingly.
• Consumer experience with – and perspectives about – generative AI will continue to play a key role in shaping successful AI adoption; keeping a close pulse on their attitudes and behaviors has never been more important.
• The 35-year-old, whose real name is Claire Boucher, said that nothing was off-limits and her ‘ultimate goal has always been to push boundaries rather than have a nice song’.

Today, as the European Parliament debates a new AI Act to regulate discriminatory misuses of artificial intelligence (1), we reflect critically on the concept of the generative, in music, and more broadly in art. Generative AI can utilize NLP techniques to understand and analyze genrative ai existing text data, and then use NLG techniques to generate new text based on the learned patterns. For example, a generative AI system may use NLP to analyze a large dataset of customer reviews and then use NLG to generate summaries or responses based on the analysis.

Marketing and Communications Manager

Without emotional intelligence, AI music will never be able to gather a mass following. Creativity is the enemy of replicability, potentially making most far-advanced avenues of entertainment the most resilient to the impacts of AI. At the moment, the most compelling case for AI music is still to serve as a companion to human musicians, catalyzing the creative process. While it remains to be seen whether the above-mentioned human authorship principle applies to AI-generated music, precedents like these likely mean that an AI music artist will not receive royalties.

Still, the authors believe the early signs are promising for the embryonic technology. Google shared several audio examples from the study, including clips of recreated hits such as Beastie Boys’ Fight for Your Right and Britney Spears’ Oops! For the final part of the experiment, the researchers deployed an experimental tool from Google that turns written prompts into music.

Apple confirms plans for September 12 event; iPhone 15 models expected to debut

Integrating familiar voices into AI compositions could amplify brand recognition, evoke nostalgia, and fashion unique campaign soundscapes, ushering in a realm of creative potential. For instance, envision the estate of Bob Marley contemplating the inclusion of his AI voice in a fresh reggaeton arrangement. This is a new incarnation of the copyright conundrums that have always existed. The reuse or re-interpretation of existing material presents many creative and financial opportunities, but without copyright protection, artists have less motivation to forge a career in the industry. Copyright law isn’t perfect, so with AI, we will continue to navigate this fine line so we can reap the benefits while offering protection where needed.

This was originally introduced in EU Directives on software  and databases  but has now been applied more broadly to encompass copyright works beyond software and databases (see for example the Painer  and Cofemel judgments). When a track by artist “Ghostwriter” was uploaded and then promptly removed from streaming services in April, it was the latest example of one of 2023’s most astonishing trends. The track ‘heart on my sleeve’ sounded like it was sung by two of the world’s biggest stars, Drake and The Weeknd. In fact, it was actually someone who had used an AI tool to make his voice sound like theirs. AI does this by analysing huge amounts of musical data, using existing samples, styles and genres and can learn to create something completely from scratch. There are lots of different AI Music generators out there, including Boomy, Beatoven.ai and AIVA.

There are many tools that use a form of AI, even if it’s just as simple as a music tagging tool. As a music and audio post production company, we need to lean into new tech and innovations constantly to keep with trends and timelines. The more we can automate and be expeditious on the technical side using AI tools, the more time we’ll have to innovate and push the limits of our creativity. Generative AI can enhance the accuracy, transparency, and efficiency of credit scoring processes for banks, enabling them to make more informed credit decisions, mitigate credit risk, and provide personalized credit offers to borrowers. However, it’s important to note that the use of generative AI in credit scoring should comply with regulatory requirements, ensure data privacy and security, and be thoroughly validated to ensure the reliability and fairness of credit decisions.

A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

Canadian singer Grimes told artists they can use her voice in AI-generated songs for a fair 50 per cent split of the royalties. Some experts believe the technology could shake up the music industry by creating new hits, but controversy surrounds it because of copyright concerns. It is a neural network which generates eerie approximates of pop songs in the style of multiple artists. We have a product called Ignite that uses AI to benchmark a brand’s values against 1000s of commercial tracks, built with the input of over 500,000 consumers. I’m sure at some point in the not-so-distant future, AI will have a solution for generating music based on audio cornerstones too. But as we’ve already seen with visual branding, this will lack the human touch that facilitates the emotional connection between brand and consumer.

Upon learning that a song is AI-generated (rather than written and produced by humans), a little more than half of consumers said that they would enjoy it less. Knowing that AI has a part in the production has a tremendous impact on consumer sentiment toward the work. It would be quite something if we were to end up in a situation where the UK’s regulatory framework ends up less transparent and with weaker protections for copyright and property rights than the People’s Republic of China. If our standards are set at a low bar then this would undermine both the AI sector and creative industries in the long-term. The AI industry can only benefit from high standards as it needs a successful creative sector to generate “new” products.

The industry has a track record of developing effective licensing solutions for innovative new technologies, from the advent of radio and TV, video gaming and currently, with a host of apps and online platforms. AI is no different, and we are eager to work with the AI sector to find those solutions. His intellectual property has been exploited and he gets nothing and the consumer doesn’t get the real deal. The same would apply for any creator, whether its David Arnold, Debbie Wiseman, John Powell or Andrew Lloyd Webber. It needs to be trained, which happens through a process of “ingesting” a myriad of existing pieces of music, copying and analysing the various patterns and structures, and then generating a “new” piece of music based on that computation.. He also calls for labelling to ensure consumers know what music is AI generated and lastly, that the Government look at the issues around the protection of personality and image rights in the context of AI.

Ministers had planned to relax copyright laws in a way that would allow AI to mine works for text and data, part of efforts to make the UK an artificial intelligence hub. But they reversed the proposals earlier this month after a backlash from the music industry. “In 1999, when Napster sparked a wave of unlicensed peer-to-peer music sharing that trampled on artists’ rights and nearly gutted the entire music ecosystem, it was copyright law that ultimately prevented the industry’s collapse,” Mr Nash said. “In other creative realms, generative AI is wantonly strip-mining mountains of content from social media, personal websites and platforms such as Pinterest. In doing so, many AI developers seem to either ignore the ethics of ingesting creative works to train AI.

It should not replace legal advice tailored to your specific circumstances. “From their perspective, our research shows that AI Is levelling the playing field, which will ensure a more diverse pipeline of talent entering the music industries.” genrative ai AI programmes have become ingrained in the workflow of younger creatives, with those interviewed sharing how it has aided in increasing their productivity – whether it had been adopted for years or tested for only a couple of months.

Several websites already offer fans the ability to create new songs using soundalike voices belonging to some of the biggest stars in the world of pop. Drake and The Weeknd have also fallen foul of the growing trend, while the technology has helped ‘bring back to life’ the voices of dead musicians such as Elvis Presley, David Bowie and Michael Jackson, as well as Cash and Sinatra. Well, after the emergence of a string of ‘deepfake’ songs where the likes of Johnny Cash, Frank Sinatra and Drake have had their voices convincingly mimicked, the world’s largest record label is taking action.

With all eyes on generative AI, much of the focus has been on its impact on visual creativity. But, of course, artificial intelligence of stripes will have as much of an impact on music as it will on still and moving imagery. There have been some notable experiments in the space, such as the short-lived fake Drake and The Weeknd track that was quickly yoinked from social media and streaming platforms.