Hate AI art? Youre gonna love what Procreate just promised to do or not do

How artists are fighting generative AI by Paris Marx

It was our most ambitious display so far and in developing it we created a living painting or artwork. You’ve been working with artificial intelligence (AI) and generative AI for some time. Antoine is a visionary leader and founding partner of Unite.AI, driven by an unwavering passion for shaping and promoting the future of AI and robotics. A serial entrepreneur, he believes that AI will be as disruptive to society as electricity, and is often caught raving about the potential of disruptive technologies and AGI. Alex McFarland is an AI journalist and writer exploring the latest developments in artificial intelligence.

But many of these systems aren’t as high-profile as their closed-off counterparts and don’t offer simple starting points like custom bots. On the other hand, to complicate matters further, the US Copyright Office in September 2023 rejected copyright protection for Theatre D’opera Spatial, an artwork predominantly created by AI and crafted by artist Jason Allen. This artwork had previously won an art contest, but the Copyright Office’s decision was based on the lack of significant human intervention in its creation. This stance contrasts with the position of Lawrence Lessig, a Harvard Law School professor and a renowned expert on Internet and law issues. Lessig advocates for the recognition of copyright in prompt-generated artworks, arguing that they are original and creative, embodying the human input of the prompter. The highlighted lawsuit underscores the ongoing tension between AI’s innovative potential in art and individual artists’ rights.

In short, generative AI can be a very powerful tool when oriented towards the goal of enhancing human creativity rather than attempting to supplant it. One such example is the work of artist Anna Ridler, who created a piece called Mosaic Virus in 2019, generating her own training data by taking photos of 10,000 Tulips, which itself is a work of art that she titled Myriad (Tulips). She then trained a GAN-based image generator with this data, creating a video in which the appearance of a tulip is controlled by the price of bitcoin [14]. Artificial Intelligence (AI), specifically generative AI, can analyze huge amounts of data, spot patterns, and generate original outputs using machine learning algorithms. Generative AI can provide inspiration for artists by generating unique concepts, color palettes, textures, and compositions and even help with producing an initial draft, which artists can further refine and personalize.

Samsung’s new image-generating AI tool is a little too good

Now, whether the impact would be positive or painful will depend on how artists, curators, policymakers, technologists, and the broader art community choose to embrace and integrate these technologies. AI algorithms can produce or analyze techniques that are impossible or difficult for humans. For example, AI can help artists, students of art, and researchers to understand the brushwork, symmetry, balance, etc., in classic paintings of artists of the past. An understanding of these classic art techniques will deepen our appreciation of historical works and enable new-age artists and historians to discover intricate layers of visual art.

• There’s been a sense of solidarity and organizing from artists in a way that I haven’t seen in a really long time.
• This creative journey is an exploration of possibilities in which you experiment with different styles and AI tools, allowing you the freedom to improve your work through iteration.
• Some states have laws and ethical rules regarding solicitation and advertisement practices by attorneys and/or other professionals.
• He clarified that the artwork was commissioned from a professional AAA concept artist they had worked with since 2011, the same artist behind the iconic “Bob on Car” artwork.
• The thing that a lot of people don’t know is that like artists like myself were already feeling the effects of this in our industry back in August 2022.

During an incredibly inspiring year, my team and I learnt how to use algorithms. In our first project, we worked with Salt, an open-source library in Turkey, to create our Archive Dreaming project. One of the main applications of Deep Dream is to use it to create artwork, since it uses different painting styles to generate images that appear to be from different places or periods of time. ArtSmart AI is easier to use than most other platforms including Midjourney and allows more control over outputs. The platform offers a number of tools which helps users assemble better and more nuanced prompts. This includes prompting for Camera Set-Up, Camera Angles, Time & Weather, and Painting Styles.

Microsoft Designer’s Image Creator (formerly Bing Image Creator)

Procreate has been a staple for digital artists since its launch in 2011, earning plaudits for its interface and Apple iPad-focused tools. Artists can create intricate, high-quality illustrations using touchscreens and styluses through Procreate, but that won’t ever extend to AI features. That’s why Zhao and Zheng see Glaze and Nightshade as necessary interventions—tools to defend original work, attack those who would help themselves to it, and, at the very least, buy artists some time. The researchers need to offer something now because the AI sector moves at breakneck speed, Zheng says, means that companies are ignoring very real harms to humans. “This is probably the first time in our entire technology careers that we actually see this much conflict,” she adds. The first scrappy version of Glaze was developed in just a month, at which point Ortiz gave the team her entire catalogue of work to test the model on.

If you love one form of art, you probably have a very creative mind and would be open to trying new things in the future. When you’re ready to try something new, doing research before you get started can give you a leg up. The museum will highlight “ethically collected” datasets, Anadol said, like his Large Nature Model, a open-source, generative AI tool built with data shared by the Smithsonian, the UK’s Natural History Museum and other prominent institutions. Now Anadol is looking to build artists like himself a permanent exhibition space among some of LA’s most prominent high-culture venues, and he is pledging that the AI art museum will promote “ethical AI” and use renewable energy sources. You are responsible for reading, understanding, and agreeing to the National Law Review’s (NLR’s) and the National Law Forum LLC’s Terms of Use and Privacy Policy before using the National Law Review website.

However, as AI models base their works on patterns discovered from already-existing human-made art, the idea of “truly original” art is still up for debate. Most AI art generators create images using Generative Adversarial Networks, or GAN. Two neural networks, a generator and a discriminator, are used in GANs to create images that resemble the ones provided in the training/reference images. You can also generate realistic images or create animations and 3D models with RunwayML.

This could result in a lack of diversity and representation in the generated artworks, potentially reinforcing existing societal biases. AI generators have been shown to appropriate and distort the identities of groups, encode biases, and reinforce stereotypes [22], [23], [24]. Some artists and creatives express concerns that AI-generated art could devalue human creativity, potentially leading to job displacement or making it harder for human artists to earn a living from their work. There are also questions about the transparency, explainability, and accountability of AI art generation systems, particularly when it comes to understanding how they arrive at certain outputs or addressing potential harmful or unethical content. The rise of artificial intelligence (AI), or generative AI, to be specific, has sparked obvious concerns and fears within the ART world, with many believing that AI will replace human artistic expression. To fight back, artists have filed class action lawsuits in the US against Midjourney, Stable Diffusion, and DeviantArt [1], organized protests, and boycotted online services like ArtStation that allowed image-generated content on their platforms.

Systems like Midjourney, Stable Diffusion, ChatGPT, and Sora were all trained on data that was read into the datasets from all available sources. In a thread on Discord, the platform where Midjourney operates, chief executive David Holz posted the names of roughly 4,700 artists he said that its AI tool can replicate. This followed Stability chief executive Prem Akkaraju saying that the company downloaded from the internet troves of images and compressed them in a way that can “re-create” any of those images.

First, critics contend that AI diminishes the creative process by replacing human imagination—which is inherently unpredictable and contextually rich—with a formulaic approach. In other words, the machine is doing all the meaningful work of art, and doing it wrong. Second, AI models are trained on ‘stolen’ artwork, which makes them fundamentally illegitimate. Essentially, AI art is cheating on the test and allows users to cheat too. But when users input prompts that included people into any of these generators, they started to notice a recurring bug.

One of the most promising and popular countermeasures uses code embedded in the images that, if the image is used in AI data training without consent, “poisons” the sample, rendering it useless. The main tools for this, Glaze and Nightshade, were developed by a team at the University of Chicago led by computer science professor Ben Zhao. “Musa Victoriosa,” an original artwork by Karla Ortiz, was the first public application of Glaze, …

The output of the artists is judged with feedback given and a winner selected, eliminating the losing artist. This process is repeated for 3 rounds resulting in a final winning artist. For my project, I set up a Google Colab Notebook (Shared Agentic AI Art.ipynb), where the API calls, artists and judges would all be orchestrated from. I used the OpenAI GPT-4o model via API and defined an AI artist “Assistant” template in the OpenAI Assistant Playground. P5.js was the chosen coding framework, allowing the AI artists to generate sketches in JavaScript and then embed them in an HTML page.

Careful looking at the images shows faint impressions of watermarks or symbols to remind us of these images’ origins. Stock photographs are significant parts of the training data, but these have a complicated history, with unexpected geo-politics accompanying their better known gender and race biases. In general, the data that surrounds us is the inspiration for my work. Using generative artificial intelligence, we train machine-learning algorithms by harnessing large, focused and publicly available datasets to visualize nature, urban life and culture. Since the COVID-19 pandemic, my focus has been on compiling the largest possible dataset to artificially preserve nature.

You Don’t Hate AI, You Hate Capitalism – ARTnews

You Don’t Hate AI, You Hate Capitalism.

Posted: Fri, 20 Sep 2024 07:00:00 GMT [source]

Their work would be used to create the computer systems that would one day replace them — and they wouldn’t have a say in it. Everyone from acclaimed artist Sacha Jafri to D&D illustrator Greg Rutkowski, whose name has become a style in many AI art systems, have spoken out about the issues with AI. There are also ongoing legal struggles around this very topic, lead by artists like Kelly McKernan whose name has become a prompt, losing her work. In another loss for the AI companies, the court rebuffed arguments that the lawsuit must identify specific, individual works that each of the artists who filed the complaint alleges were used for training. Moreover, the integration of AI into artistic practice requires art professionals to continually improve their digital literacy and master new technological tools. Leading cultural institutions in Israel are gradually including generative art along with other digital art in their exhibition and educational programs.

Shutterstock is an established company that trades on the New York Stock Exchange (NYSE). They provide stock photography, stock footage, stock music, editing tools and as of 2023 they provide the best tools to generate your own images and art. This was achieved by integrating OpenAI’s DALL-E 2’s image-generating AI system.

So we looked into who was making these and we found out they were also selling merchandise that suspiciously looked just like the studies they were doing — mugs, NFTs, you name it. The folks that were on these studies were like, “Hey, listen, we reached out to them.” We were like, “Hey, can you take their name down? They didn’t want to be a part of this.” But these folks straight up ghosted us. Generative AI exploded into the public consciousness at the end of 2022 with the release of ChatGPT, but by that point it was already causing problems for artists and illustrators.

It produces images based on textual descriptions, known as “prompts,” akin to technologies like OpenAI’s DALL-E and Stability AI’s Stable Diffusion. In addition to AI art generation, Dzine offers a suite of powerful features. The AI Photo Filter transforms portraits into cartoon-style images while preserving details and character. Users can merge different elements into one cohesive image with the Image-to-Image generator, ensuring stylistic consistency.

Interested parties are encouraged to respond and need not answer all the questions. These conversations bring the United States closer to finding policy solutions for the problematic copyright questions surrounding generative AI. Regarding the first issue, the prevailing question is whether using copyrighted works to train generative and non-generative AI is an infringing use. Because copyright infringement requires an act of actual copying, this fact-specific inquiry heavily depends on the type of AI. Additional facts such as the collection and curation of AI datasets, training material sources and retention of records may also affect this analysis and subsequent opinions/policy.

For some works, we collaborate with institutions such as the NASA Jet Propulsion Lab (JPL) or the MoMA and use their incredible datasets. Zaha Hadid Architects and Casa Batlló have also shared their data with us. I started with computer games and since high school I’ve been building an art practice using machines. When using generative AI to edit your art, you might not always get optimal results.

Before designing the certificate, Dakan, a creative writing professor, had already started to incorporate generative AI into some of his courses. Dakan told Hyperallergic that he wants students to leverage the technology to “raise their floor” as creative professionals, not to replace their human ingenuity. Because of that lack of protections, we’ve banded together and advocated for ourselves in a way that has been very inspiring and very hopeful. Last year, the Concept Art Association said, “We need to be in DC because we have to have a voice.” And we’re like, “Let’s just do the same thing that other companies do. Let’s hire someone who has the connections.” So we did a fundraiser and 5,000 people from all around the globe gave them enough to be able to fund a full year of lobbying; a full year of action, a full year of events.

The DC District’s decision in Thaler v. Perlmutter highlights the complexity of copyright authorship for AI-generated works. The Board twice refused to register the work, finding that it lacked requisite human authorship because it was autonomously generated by AI. The Board also dismissed Thaler’s work-for-hire argument because AI cannot enter a binding legal contract. The Copyright Act of 1976 provides immediate copyright protection to any work of authorship fixed in any tangible medium of expression. The DC District Court held that, although copyright law was designed to adapt to the times, there is an underlying and consistent understanding that human creativity is the driving force of copyrightability. AI’s insatiable data needs have led to a significant shortage of training data—a shortage further exacerbated by the regulatory initiatives described above—pushing companies toward synthetic data solutions despite transparency and ethical concerns.

Why does AI art screw up hands and fingers? – Britannica

Why does AI art screw up hands and fingers?.

Posted: Wed, 15 Jan 2025 08:00:00 GMT [source]

In a May hearing, DeviantArt warned that several other companies will be sued if the artists’ infringement claims against firms that simply utilized Stable Diffusion and had no part in creating it survives dismissal. The first auction sales of NFT works by Israeli artists took place in 2022 at Tiroche auctions in Herzliya, with lots selling for record amounts for this segment, reaching the upper estimates. Sales of digital art on the secondary market indicate the successful integration of this genre into the commercial context. Creative experiments with technology are also resonating in the local art market.

Experts suspect Midjourney adjusted its datasets to prioritize clearer images of hands and deprioritize images where hands are hidden or only partially visible. Though the resulting images still aren’t perfect—the aforementioned image of Trump’s arrest was generated after the update—users generally agree that they have improved. As artificial intelligence companies compete to have the best image generator on the market, it is likely that DALL-E, Stable Diffusion, and the rest will follow suit. Runway ML allows you to generate images by training and using machine learning models.

Some observers, like researcher Pablo Villalobos, suggest that the answer lies not in scaling up generative AI outputs but in seeking breakthroughs that allow for more efficient use of data and resources. The Generative AI Copyright Disclosure Act and ELVIS Act are examples of such change. A simple search on social media would show you dozens of examples of big-box stores selling art that is AI-generated. We can tell it’s made with AI because we can see the extra fingers, misplaced hands and missing toes. In my many public relations, advertising and graphic design classes I have had teachers tell me not to bother learning how to write blog posts in AP style or create social media design posts because one day AI will do it for me. I would much rather see passionate creatives help shape the creative tools of the future, with generative AI art in the picture, than leave it to prompt-jockeys (sorry about the pun) or corporate money people.

Without the creativity of artists whose art is being fed to AI interfaces, there would be no AI art. While a lot of these cases don’t yet have a conclusion or decision, the concern artists are sharing is a call to consider regulation and reform. The call isn’t coming from just artists, as executives have admitted to cutting artists’ jobs, or at the least considering cutting jobs, in favor of AI. This love has pushed me into a career that is largely creative and art-based, with my absolute dream job being a creative director for literally any company that would take me. The court declined to dismiss copyright infringement claims against the AI companies.

Pupils peer out from translucent vesicles that grow atop algae-like plants, and there’s a strong feeling that the creatures of this strange and colorful microcosm are as interested in observing you as you are them. For example, in September, Qatar Airways partnered with Akool, vendor of a generative AI platform for personalized video marketing and advertising, to launch an airline commercial in which viewers can become the stars of the film. To help answer some of these questions, Khandaker has been performing play tests with other people, in which they have conversations to model what characters say or do in a game. “Now, if people see AI-generated art in pitch decks and things like that, if publishers see that, that’s not necessarily a good thing anymore,” she said. Harassment campaigns, doxxing, and conspiracy-driven brigades, frequent tactics among the more extreme anti-AI advocates, erode public sympathy and harm developers and artists. Platforms like /r/ArtistHate amplify these behaviors, fostering a toxic environment that discourages transparency and collaboration.

Swallja is a 2x Grammy-nominated music producer and multifaceted media artist based in New York City. Known for his innovative approach to art and technology, As seen on his website, swallja.art, Swallja’s work spans a diverse range of mediums including 2D and 3D art, animation, AI, music production, cryptographic puzzles, and game development. Artificial Intelligence has played a pivotal role in Swallja’s artistic journey, helping him achieve long-standing goals in both commercial projects and original works.

Simpson stated the team was unaware if AI tools were used in the creation process but promised to investigate. “If anyone feels disappointed in us for failing to stop AI artwork from getting into the game, that’s fair enough, and I personally apologize,” he said. AIVA Technologies, a Luxembourg-based startup, developed an AI composer named AIVA (Artificial Intelligence Virtual Artist). In 2016, AIVA became the world’s first virtual composer recognized by a music rights organization (SACEM). AIVA composes original classical music that has been used in films, advertising and games.

I coined the term “data painting” when I started imagining the pigmentation of the data around us – the sound, the vision, the internet. I believe anything in life that is quantifiable can become an artwork. Data is not just numbers; it’s a form of memory and can take any shape or form. Deep Dream relies on a neural network that was trained with millions of images.

Dataland Los Angeles is our next journey and an important milestone that marks our studio’s 10th anniversary. It will unite innovators in visual worldmaking, science, technology and academia under the artistic leadership of Refik Anadol Studio. It will showcase artwork but also focus on research, education and embracing open-source practices, and serve as an example for future generations navigating AI. In just a few minutes, you can create highly realistic images with the AI.