The use of copyrighted works to train generative AI models, such as Meta's LLaMA, is raising concerns about copyright infringement and transparency, with potential legal consequences and a looming "day of reckoning" for the datasets used.
A federal judge ruled that AI-generated art is not eligible for copyright protection in the US due to the absence of human authorship.
YouTube's CEO, Neal Mohan, announced that they will be embracing AI responsibly with their music partners, working on an AI framework to protect artists' copyrights and enhance creative expression, and introducing YouTube's Music AI Incubator to collaborate with talented artists.
Generative AI is starting to impact the animation and visual effects industry, with companies like Base Media exploring its potentials, but concerns about job security and copyright infringement remain.
Three artists, including concept artist Karla Ortiz, are suing AI art generators Stability AI, Midjourney, and DeviantArt for using their work to train generative AI systems without their consent, in a case that could test the boundaries of copyright law and impact the way AI systems are built. The artists argue that feeding copyrighted works into AI systems constitutes intellectual property theft, while AI companies claim fair use protection. The outcome could determine the legality of training large language models on copyrighted material.
The Alliance of Motion Picture and Television Producers has proposed guidelines for the usage of artificial intelligence (AI) and data transparency in the entertainment industry, stating that AI-created material cannot be considered literary or intellectually protected, and ensuring that credit, rights, and compensation for AI-generated scripts are given to the original human writer or reworker.
Hollywood studios are considering the use of generative AI tools, such as ChatGPT, to assist in screenwriting, but concerns remain regarding copyright protection for works solely created by AI, as they currently are not copyrightable.
Several music stars, including Selena Gomez, Ed Sheeran, Drake, Lil Wayne, Liam Gallagher, and Grimes, have shared their thoughts on artificial intelligence (AI) and its impact on the music industry, expressing concerns about job security, safety, and copyright protection, while others have shown support or interest in collaborating with AI-generated music.
AI technology, specifically generative AI, is being embraced by the creative side of film and TV production to augment the work of artists and improve the creative process, rather than replacing them. Examples include the use of procedural generation and style transfer in animation techniques and the acceleration of dialogue and collaboration between artists and directors. However, concerns remain about the potential for AI to replace artists and the need for informed decision-making to ensure that AI is used responsibly.
Artificial intelligence (AI) is seen as a tool that can inspire and collaborate with human creatives in the movie and TV industry, but concerns remain about copyright and ethical issues, according to Greg Harrison, chief creative officer at MOCEAN. Although AI has potential for visual brainstorming and automation of non-creative tasks, it should be used cautiously and in a way that values human creativity and culture.
A British parliamentary committee is urging the government to prioritize the rights of musicians and creators over AI developers by axing plans that would allow AI developers to freely train their systems on existing works of music, literature, and art.
The United States Copyright Office has issued a notice of inquiry seeking public comment on copyright and artificial intelligence (AI), specifically on issues related to the content AI produces and how it should be treated when it imitates or mimics human artists.
“A Recent Entrance to Paradise” is a pixelated artwork created by an artificial intelligence called DABUS in 2012. However, its inventor, Stephen Thaler, has been denied copyright for the work by a judge in the US. This decision has sparked a series of legal battles in different countries, as Thaler believes that DABUS, his AI system, is sentient and should be recognized as an inventor. These lawsuits raise important questions about intellectual property and the rights of AI systems. While Thaler's main supporter argues that machine inventions should be protected to encourage social good, Thaler himself sees these cases as a way to raise awareness about the existence of a new species. The debate revolves around whether AI systems can be considered creators and should be granted copyright and patent rights. Some argue that copyright requires human authorship, while others believe that intellectual property rights should be granted regardless of the involvement of a human inventor or author. The outcome of these legal battles could have significant implications for the future of AI-generated content and the definition of authorship.
UK publishers have called on the prime minister to protect authors' intellectual property rights in relation to artificial intelligence systems, as OpenAI argues that authors suing them for using their work to train AI systems have misconceived the scope of US copyright law.
The ongoing strike by writers and actors in Hollywood may lead to the acceleration of artificial intelligence (AI) in the industry, as studios and streaming services could exploit AI technologies to replace talent and meet their content needs.
AI is a topic of concern and fascination within the music industry, as musicians and composers grapple with the potential benefits and threats it poses to their work, with tools already available that enable the creation of professional-sounding original compositions, but with debates surrounding the authenticity and copyright of AI-generated music.
Generative AI is making its presence felt at the Venice film festival, with one of the highlights being a VR installation that creates a personalized portrait of users' lives based on their answers to personal questions. While there are concerns about the impact of AI on the entertainment industry, XR creators believe that the community is still too small to be seen as a significant threat. However, they also acknowledge that regulation will eventually be necessary as the artform grows and reaches a mass audience.
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Artificial intelligence (AI) risks further exploitation and misrepresentation of Indigenous art, as well as encroaching on Indigenous rights, unless Indigenous people are involved in creating AI and deciding its scope, and Indigenous data sovereignty is respected.
The Colorado State Fair has amended its rules to require artists to disclose if they used artificial intelligence (AI) to create their submissions after controversy arose when an AI-generated artwork won first place in the fair's digital arts competition last year.
Adobe has joined other companies in committing to safe AI development and has proposed a federal anti-impersonation law that would allow creators to seek damages from individuals using AI to impersonate them or their style for commercial purposes, which would make the impersonator, not the tool's vendor, the target of legal action.
Meta is being sued by authors who claim that their copyrighted works were used without consent to train the company's Llama AI language tool.
California lawmakers are introducing a bill that would allow actors and artists to nullify contracts that permit studios to use artificial intelligence to digitally clone their voices, faces, and bodies, in an effort to protect workers from being replaced by their digital replicas.
AI dubbing presents a significant opportunity for content localization efforts in the entertainment industry, allowing for the dubbing of net-new content into previously inaccessible markets, increasing efficiency, and reducing costs, while still relying on human expertise for quality control and adjustments.
AI technology is revolutionizing the music-making process, creating AI covers, generating original songs, and assisting with production and mixing, raising ethical and legal concerns and changing the landscape for musicians and fans alike.
Stephen Fry's agents were shocked to discover an AI-generated recording that perfectly mimicked his voice, raising concerns over the potential impact on voice actors and the debate surrounding intellectual property rights in relation to AI-generated content.
High-profile songwriters are meeting with Congressmen to advocate for legislation protecting musicians' copyrights in the face of the rapid rise of artificial intelligence (AI) in the music industry. The industry wants clear legislation that requires permission from copyright holders to use pre-existing songs to train AI for generating new music.
AI technology has the potential to assist writers in generating powerful and moving prose, but it also raises complex ethical and artistic questions about the future of literature.
YouTube has announced new AI-powered tools for creators, including AI-generated photo and video backgrounds, AI video topic suggestions, and music search, signaling a shift in how digital creators make and structure their content.
YouTube's head of music, Lyor Cohen, expressed his enthusiasm for artificial intelligence (AI) at the Made on YouTube event, stating that AI tools can open up a new playground for creativity and usher in a new era of musical creativity. Warner Music Group CEO, Robert Kyncl, proposed a path forward where AI enthusiasts can benefit from the technology while artists who are wary of it are protected. YouTube is also developing AI-powered tools for creators, such as Dream Screen and a search function that acts like a music concierge.
The US Copyright Office has ruled for the third time that AI-generated art cannot be copyrighted, raising questions about whether AI-generated art is categorically excluded from copyright protection or if human creators should be listed as the image's creator. The office's position, which is based on existing copyright doctrine, has been criticized for being unscalable and a potential quagmire, as it fails to consider the creative choices made by AI systems similar to those made by human photographers.
