In early 2025, Augmented Intelligence - Christie's first AI art auction - drew criticism for showcasing a controversial genre. Amid wider legal uncertainty, artists voiced concerns over data mining practices, notably with respect to copyright. The backlash could be viewed as a microcosm of AI's contested position in the creative economy. Touching on the auction's presentation, reception, and results, this paper explores how, among social dissonance, machine learning finds its place in the artworld. Foregrounding responsible innovation, the paper provides a balanced perspective that champions creators' rights and brings nuance to this polarised debate. With a focus on exhibition design, it centres framing, which refers to the way a piece is presented to influence consumer perception. Context plays a central role in shaping our understanding of how good, valuable, and even ethical an artwork is. In this regard, Augmented Intelligence situates AI art within a surprisingly traditional framework, leveraging hallmarks of "high art" to establish the genre's cultural credibility. Generative AI has a clear economic dimension, converging questions of artistic merit with those of monetary worth. Scholarship on ways of seeing, or framing, could substantively inform the interpretation and evaluation of creative outputs, including assessments of their aesthetic and commercial value.

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.

AI art can make you uneasy about where the future of creative industries is heading. Even knowing where AI is used is far from clear, since a lot of AI-generated art, music, writing, and videos pass deceptively like something a human created. To help you navigate the AI landscape, this article will explain how AI is being used in five different creative industries. As these AI tools become more available, you might find your own creative use for some of the mind-boggling AI software mentioned below. Creating art using AI systems seems impossible to believe until the results appear before your eyes like magic.

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.

Holly Herndon performs at TED2022: A New Era in April, 2022 in Vancouver, Canada. Holly Herndon performs at TED2022: A New Era in April, 2022 in Vancouver, Canada. Artist Holly Herndon created an AI clone of her voice that can sing in any languages and in any tone. In her music, Holly shows how AI can enhance the power and artistry of the voice. Holly Herndon is an American musical artist based in Berlin.

When we give a machine values and it solves a calculation for us, that's simply computing. When we give a machine data and it learns from its experiences and then makes recommendations, that's artificial intelligence. So what happens when we give AI one of the most human of art forms: music? Quite a bit, as it turns out. AI uses machine learning models to produce new patterns and correlations based on the data it was trained from.

Last week, indie pop singer-songwriter Grimes made an appearance on astrophysicist Sean Carroll's Mindscape podcast. During the segment, the pop singer, who studied neuroscience before pursuing her music career, opined that humanity is at the "end of art, human art" -- AI, in Grimes' mind, will soon master the arts and sciences, surpassing humans in the ability to produce superior works. Grimes' comments touched a nerve in the indie music community. In a since-deleted tweet, critically acclaimed singer-songwriter Zola Jesus called Grimes' comments the "voice of silicon fascist privilege," likely alluding to Grimes relationship with Elon Musk. Yesterday, a third voice weighed in on the debate -- Holly Herndon, an award-winning composer and electronic musician whose most recent album, PROTO, was made in collaboration with an AI.

Holly Herndon has outlined her thoughts about the effects of artificial intelligence on music, as well the conditions of a new, "interdependent" model of music production and consumption. The statement arrives as response to a Twitter debate between Grimes and Zola Jesus, borne out of comments made by Grimes during her appearance on science podcast Mindscape, where she stated her belief that the emergence of an AGI (Artificial General Intelligence) could lead to, as she put it, "the end of art, human art", a sentiment that led to Zola Jesus calling her "the voice of silicon fascist privilege" in a since-deleted Tweet. Responding to both artists, Herndon, whose recent album Proto was made in collaboration with an AI (Spawn) she developed with her partner Mat Dryhurst, detailed the ways in which AI could be a useful tool for the development of music, and how it could assist a movement to what she terms an "interdependent music". Ok y'all @Grimezsz @ZOLAJESUS here is my 2c on AI and Interdependent music Asserting that "AI most likely won't replace musicians outright", she explained the ways in which AI tools might be able to generate generic music independently, but that this would not supercede skilled musicians, giving the example of drum machines being able to replicate basic drumming, but not great drummers. "The ideal of technology and automation should allow us to be more human and more expressive together", she continues, "not replace us all together."