Current legal frameworks consider AI-generated works eligible for copyright protection when they meet originality requirements and involve substantial human intellectual input. However, systematic legal standards and reliable evaluation methods for AI art copyrights are lacking. Through comprehensive analysis of legal precedents, we establish three essential criteria for determining distinctive artistic style: stylistic consistency, creative uniqueness, and expressive accuracy. To address these challenges, we introduce ArtBulb, an interpretable and quantifiable framework for AI art copyright judgment that combines a novel style description-based multimodal clustering method with multimodal large language models (MLLMs). We also present AICD, the first benchmark dataset for AI art copyright annotated by artists and legal experts. Experimental results demonstrate that ArtBulb outperforms existing models in both quantitative and qualitative evaluations. Our work aims to bridge the gap between the legal and technological communities and bring greater attention to the societal issue of AI art copyrights.

The high efficiency and quality of artwork generated by Artificial Intelligence (AI) has created new concerns and challenges for human artists. In particular, recent improvements in generative AI have made it difficult for people to distinguish between human-generated and AI-generated art. In this research, we consider the potential utility of various types of Machine Learning (ML) and Deep Learning (DL) models in distinguishing AI-generated artwork from human-generated artwork. We focus on three challenging artistic styles, namely, baroque, cubism, and expressionism. The learning models we test are Logistic Regression (LR), Support Vector Machine (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Network (CNN). Our best experimental results yield a multiclass accuracy of 0.8208 over six classes, and an impressive accuracy of 0.9758 for the binary classification problem of distinguishing AI-generated from human-generated art.

Hacktivists claim to have stolen more than a terabyte of data from Disney's internal chat platform and are leaking the information online in a protest against what they say is the company's anti-artist stance. The group, which calls itself NullBulge, has been active since at least May. It claims to be motivated by a desire to "protect artists' rights and ensure fair compensation for their work". On Friday, it published the entirety of Disney's internal Slack channel online through the decentralised BitTorrent filesharing platform. Unlike many corporate hackers, NullBulge seems not to be interested in financial rewards.

Lois Rosson is a historian of science and technology based in Los Angeles. She is currently writing a book about images of outer space and their legibility. In 1835, William Henry Fox Talbot finally succeeded in producing a crude photograph of his country estate. He triumphantly declared that his was the first house ever known to have drawn its own picture. Fox Talbot described the calotype, his contribution to the photomechanical process, as an eradication of human intervention.

Adobe is jumping into the generative AI game with the launch of a new family of AI models called Firefly. Focused on bringing AI into Adobe's suite of apps and services, specifically AI for generating media content, Firefly will be made up of multiple AI models "working across a variety of different use cases," Adobe VP of generative AI Alexandru Costin told TechCrunch in an email interview. It's an expansion of the generative AI tools Adobe introduced in Photoshop, Express and Lightroom during its annual Max conference last year, which let users create and edit objects, composites and effects by simply describing them. As the fervor around the tech grows, Adobe has raced to maintain pace, for example allowing contributors to sell AI-generated artwork in its content marketplace. "Firefly is the next step on our AI journey -- bringing together our new'gentech' models with decades of investment in imaging, typography, illustration and more to produce assets," Costin said.

On Tuesday, members of the online community ArtStation began widely protesting AI-generated artwork by placing "No AI Art" images in their portfolios. By Wednesday, the protest images dominated ArtStation's trending page. The artists seek to criticize the presence of AI-generated work on ArtStation and to potentially disrupt future AI models trained using artwork found on the site. Early rumblings of the protest began on December 5 when Bulgarian artist Alexander Nanitchkov tweeted, "Current AI'art' is created on the backs of hundreds of thousands of artists and photographers who made billions of images and spend time, love and dedication to have their work soullessly stolen and used by selfish people for profit without the slightest concept of ethics." Nanitchkov also posted a stark logo featuring the letters "AI" in white uppercase behind the circular strike-through symbol.

On Monday, Adobe announced that its stock photography service, Adobe Stock, would begin allowing artists to submit AI-generated imagery for sale, Axios reports. The move comes during Adobe's embrace of image synthesis and also during industry-wide efforts to deal with the rapidly growing field of AI artwork in the stock art business, including earlier announcements from Shutterstock and Getty Images. Submitting AI-generated imagery to Adobe Stock comes with a few restrictions. The artist must own (or have the rights to use) the image, AI-synthesized artwork must be submitted as an illustration (even if photorealistic), and it must be labeled with "Generative AI" in the title. Further, each AI artwork must adhere to Adobe's new Generative AI Content Guidelines, which require the artist to include a model release for any real person depicted realistically in the artwork.

A new Google feature will let consumers use artificial intelligence to bring their fantastical creations to (digital) life by just typing a few words. The app, which Bloomberg reported Thursday is currently under development, will have two functions: users can construct cities with its "City Dreamer" function, or customize a family-friendly cartoon monster with its "Wobble" feature. The tools will be available through Google's AI Test Kitchen app, Douglas Eck, a lead scientist at Google, said at the company's AI@ event in New York on Wednesday. The release date for the new app has not yet been announced. The features will use AI imaging technologies to generate hyper-specific images from even short text descriptions.

It encompasses many points of view and can withstand just as many or more definitions. As a term, it's ever-evolving, and the boundaries for what can be deemed art continue to get pushed. Artificial intelligence is not generally associated with art, and yet, AI has made its mark on the art industry. The question is, would that endure, or is AI art a fluke? Will AI carve itself a space in art, or will it be quickly forgotten as a failed experiment?

The DALL-E 2 AI generated this image when given the prompt "Teddy bears working on new AI research underwater with 1990s technology" The worries come from the fact that the AIs hoover up vast amounts of human-generated art to train themselves and use this database of knowledge to generate photorealistic images related to almost any text prompt.