Thousands of artists are urging the auction house Christie's to cancel a sale of art created with artificial intelligence, claiming the technology behind the works is committing "mass theft". The Augmented Intelligence auction has been described by Christie's as the first AI-dedicated sale by a major auctioneer and features 20 lots with prices ranging from 10,000 to 250,000 for works by artists including Refik Andanol and the late AI art pioneer Harold Cohen. A lettter calling for the auction to be scrapped has received 3,000 signatures, including from Karla Ortiz and Kelly McKernan, who are suing AI companies over claims that the firms' image generation tools have used their work without permission. These models, and the companies behind them, exploit human artists, using their work without permission or payment to build commercial AI products that compete with them." Calling on Christie's to cancel the auction, which starts on 20 February, it adds: "Your support of these models, and the people who use them, rewards and further incentivizes AI companies' mass theft of human artists' work." The British composer Ed Newton-Rex, a key figure in the campaign by creative professionals for protection of their work and a signatory to the letter, said at least nine of the works appearing in the auction appeared to have used models trained on artists' work. However, other pieces in the auction do not appear to have used such models. A spokesperson for Christie's said that "in most cases" the AI used to create art in the auction had been trained on the artists' "own inputs". "The artists represented in this sale all have strong, existing multidisciplinary art practices, some recognised in leading museum collections.

Last fall, the artist and musician Holly Herndon visited Torreciudad, a shrine to the Virgin Mary associated with the controversial Catholic group Opus Dei, in Aragón, Spain. The sanctuary, built in the nineteen-seventies, sits on a cliff overlooking an inviting blue reservoir, in a remote area just south of the Pyrenees. Herndon and her husband, Mathew Dryhurst, had been on a short vacation in the mountains nearby. They were particularly taken with an exhibit of Virgin Mary iconography from around the world: a faceless, abstract stone carving from Cameroon; a pale, blue-eyed statuette from Ecuador; a Black Mary from Senegal, dressed in an ornate gown of blue and gold. Moving from art work to art work, the couple discussed Mary's "embedding."

A.I. image generators are divisive. But few can deny that they have gotten really good. Within seconds, you can type in a prompt to make a photorealistic image of Donald Trump getting arrested or turn your strangest idea into something tangible. Over the coming years, A.I. companies will release even more advanced models that will remind us that this is just the beginning. At least one of these tools will be different in an important way: It will be prohibited from seeing 80 million of the images that helped teach its predecessors to draw and paint.

Over the past week, many of our Instagram and Twitter feeds have been filled with avatars of our friends looking like heroes in a cyberpunk thriller. With their Day-Glo pink hair, shimmery skin, and Mad Max–meets–Ren Faire corsets, many of these profile pics looked so good that it was tempting to download the Lensa app and splurge on 100 A.I.-generated portraits of one's own. But by the time TMZ built its slideshow of the best celebrity Lensa looks, the tide had turned. Yes, the app, which continues to top Apple's free apps chart (users are prompted within Lensa to pay for the avatars), was succeeding in making hot people hotter and helping the selfie-averse find their superhero inside them. But there was also the matter of theft.

AI-powered image generators have been getting most of the press recently. But musical machine learning models have quietly been making great strides in recent years. Holly Herndon has been at the forefront of that revolution. She co-developed (along with partner Mat Dryhurst) Spawn, a singing neural network, for her last album Proto and released Holly (in partnership with Never Before Heard Sounds) to the public last year, which allows anyone to use a model of Holly's voice. Now she's released a new single, where the only vocals come her digital twin.

AI-powered image generators have been getting most of the press recently. But musical machine learning models have quietly been making great strides in recent years. Holly Herndon has been at the forefront of that revolution. She co-developed (along with partner Mat Dryhurst) Spawn, a singing neural network, for her last album Proto and released Holly (in partnership with Never Before Heard Sounds) to the public last year, which allows anyone to use a model of Holly's voice. Now she's released a new single, where the only vocals come her digital twin.

It's hot tub time!" sings Frank Sinatra. At least, it sounds like him. With an easy swing, cheery bonhomie, and understated brass and string flourishes, this could just about pass as some long lost Sinatra demo. Even the voice – that rich tone once described as "all legato and regrets" – is eerily familiar, even if it does lurch between keys and, at times, sounds as if it was recorded at the bottom of a swimming pool. The song in question not a genuine track, but a convincing fake created by "research and deployment company" OpenAI, whose Jukebox project uses artificial intelligence to generate music, complete with lyrics, in a variety of genres and artist styles. Along with Sinatra, they've done what are known as "deepfakes" of Katy Perry, Elvis, Simon and Garfunkel, 2Pac, Céline Dion and more. Having trained the model using 1.2m songs scraped from the web, complete with the corresponding lyrics and metadata, it can output raw audio several minutes long based on whatever you feed it. Input, say, Queen or Dolly Parton or Mozart, and you'll get an approximation out the other end. "As a piece of engineering, it's really impressive," says Dr Matthew Yee-King, an electronic musician, researcher and academic at Goldsmiths. "They break down an audio signal into a set of lexemes of music – a dictionary if you like – at three different layers of time, giving you a set of core fragments that is sufficient to reconstruct the music that was fed in.

This story forms part of a collaboration with Dazed Digital -- where pop culture meets the underground. The opinions expressed in this article belong to each individual author. Technology is advancing at such a fast rate right now that it can feel like we are well on our way to a robot apocalypse. But, if we closely observe how artists are harnessing artificial intelligence in ways that push humanity forward, we can see that our fears of a technological dystopia might never actualize. From using AI to create new and innovative genres in music, to new takes on classical nudes, and innovative ways to track anonymous warfare, art's relationship to AI right now is illuminating humanity's strength.