AI in Art: Challenging Intellectual Property Rights, Addressing Plagiarism with Innovative Tools
Summary:
The growing use of artificial intelligence (AI) in art and design is challenging traditional concepts of intellectual property and copyright, often blurring the lines of plagiarism. AI art platforms are using extensive databases for training, many times without the artists' permission, prompting legal battles. To counter AI-driven plagiarism, a tool called Nightshade allows artists to subtly modify their work, sabotaging AI training data. Despite its potential, fears persist around the abuse of such software and about legal complexities that remain as AI-generated art continues to flourish. This situation calls for a reimagining of digital art's ownership and originality, emphasizing the need for a revision of current intellectual property frameworks.
In the domain of art and design, the increasing implementation of artificial intelligence (AI) has dramatically reshaped the concept of intellectual property (IP), creating complexities around the issue of plagiarism. AI-powered art platforms over the past year have raised serious IP rights concerns by employing extensive database usage for training purposes, often without the explicit consent of the artists behind the original creations. Several platforms like OpenAI's DALL-E and Midjourney's service indirectly earn revenue from the copyrighted content that builds their training databases, throwing up serious questions regarding the guidelines of the 'fair use' doctrine that permits usage of copyrighted work for specific purposes.
A significant legal clash occurred when leading stock photo supplier Getty Images targeted Stability AI, accusing its visual creation tool, Stable Diffusion, of violating copyright and trademark laws. These violations were due to the unauthorized use of Getty's catalog pictures, specifically those carrying its watermarks. However, justifying these allegations might be an uphill battle given the colossal collection of over 12 billion compressed images fuelling Stable Diffusion's AI training.
Another notable case saw artists Sarah Andersen, Kelly McKernan, and Karla Ortiz suing Stable Diffusion, Midjourney and web-based artist community DeviantArt for misusing works of 'millions of artists' by deploying their AI systems on five billion pictures obtained from the web without securing necessary permissions.
Addressing artists' complaints of AI-based plagiarism, a new tool named Nightshade from University of Chicago researchers could turn out to be a game-changer. It enables artists to subtly modify their work in a way undetectable to human eyes but capable of sabotaging AI training data. These small alterations can throw off AI models' learning by putting them off track when it comes to labeling and identification. The introduction of even a minimal number of radically altered pictures can substantially impact an AI's learning capacity.
Its approach holds substantial promise for protecting future creations, even though it can't reverse the effects on artworks previously fed into older AI models. While there are fears about misuse of the software to taint large-scale digital image generation, these are likely challenging due to the need for thousands of tampered samples.
While some view the tool as empowering and promising a secure online presence, concerns continue to exist about finding a comprehensive solution through the legal system to address AI-created visuals' complexities. These concerns build from ongoing debates about standard copyright and creative control norms, with AI-data poisoning software tools contributing to a reconsideration of these frameworks.
The effects of Generative AI's growth are noticeable beyond digital arts in areas like academic research and video content creation. For instance, a lawsuit by comedian Sarah Silverman and authors Christopher Golden and Richard Kadrey against OpenAI and Meta over copyright infringement brings this to light. The suit alleges that both tech giants used data sets derived from unauthorized 'shadow library' sites to train their tools, using the plaintiffs' copyrighted materials.
As AI technology develops, several companies are being forced to grapple with the massive technological proposition it represents. Companies such as Adobe have begun using a marker for AI-generated data, while Google and Microsoft are prepared to face legal challenges if customers are sued for copyright infringement related to their generative AI tools' use.
Published At
12/6/2023 5:02:21 PM
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