University of Kwazulu-Natal

Is Artificially Generated Work Considered Art The Triangle

Bonisiwe Shabane
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is artificially generated work considered art the triangle

According to Merriam-Webster, technophobia is defined as “fear or dislike of advanced technology or complex devices and especially computers.” When grocery stores and retail chain stores implemented self-checkout machines, it was the technophobes who... Following the groundbreaking release of ChatGPT in 2022, it was the technophobes who warned that “AI will take our jobs.” Despite the generalized fear of AI’s potential to replace humans, the emergence of AI-image... Is this another wave of technophobic pushback, or are artists expressing valid concern about their livelihoods? To explore this, we must ask: What defines art? Plato developed the idea of art as “mimesis” – or imitation when translated from Greek. He believed art was a form of representation and should be valued according to the degree of which it replicated its subject.

During the Romantic movement, artwork was meant to evoke an emotional response from its audience. In the 20th century, Immanuel Kant argued that art should be judged not by aesthetic beauty, but by its formal qualities, which was a key factor as art became more abstract. Joshua Issa, in his blog post on Medium.com, argues that when we consider art as a sensory, creative and interpretive work, art may then be defined as “something that was intentionally created to provide... Considering Issa’s definition of art, along with the three elements that help define art, it is difficult to make a compelling argument for generative AI art to be considered a true form of art. Originally Posted on The Triangle via UWIRE According to Merriam-Webster, technophobia is defined as “fear or dislike of advanced technology or complex devices and especially computers.” When grocery stores and retail chain stores implemented self-checkout machines, it was the technophobes who...

Following the groundbreaking release of ChatGPT in 2022, it was the technophobes who warned that “AI will take our jobs.” Despite the generalized fear of AI’s potential to replace humans, the emergence of AI-image... Is this another wave of technophobic pushback, or are artists expressing valid concern about their livelihoods? To explore this, we must ask: What defines art? Plato developed the idea of art as “mimesis” – or imitation when translated from Greek. He believed art was a form of representation and should be valued according to the degree of which it replicated its subject. During the Romantic movement, artwork was meant to evoke an emotional response from its audience.

In the 20th century, Immanuel Kant argued that art should be judged not by aesthetic beauty, but by its formal qualities, which was a key factor as art became more abstract. Joshua Issa, in his blog post on Medium.com, argues that when we consider art as a sensory, creative and interpretive work, art may then be defined as “something that was intentionally created to provide... Illustration by Judy Blomquist/Harvard Staff The emergence of AI-image generators, such as DALL-E 2, Discord, Midjourney, and others, has stirred a controversy over whether art generated by artificial intelligence should be considered real art — and whether it could... The Gazette spoke with faculty who are involved in the production of art — a writer, a film animator, an architect, a musician, and a mixed-media artist — to ask them whether they see... The interviews have been edited for length and clarity.

I recently judged a story contest, and reading the shortlist was a clue to the challenges AI might encounter in creating good writing versus great. The best of these human-written stories surprised me with 1) unique ways of viewing the world (personality), 2) linguistic originality, 3) inimitable details that could come only from personal experience. Other stories were written deftly yet lacked these elements of originality and surprise. AI is a superb mimic and quick learner and might easily write strong works in recognizable modes, and with linguistic experimentation if prompted, but — I think — will lack true insight and experience. Most at risk are commercial genres with easily recognizable styles and tropes. Even something like autofiction with its ruminating first-person narrators is easily mimicked — but what will be missing, I’m guessing, is genuine vision from living in a specific physical world.

When it comes to the performative aspect of music, artificial intelligence is not a concern to me. Music can transmit and represent emotion, and AI cannot do either of those things yet. And especially within jazz and creative music, music is in-the-moment composition, something that happens as musicians are collaborating onstage. That sense of interplay, or the ability to react in the moment, is something that artificial intelligence can’t reproduce because to do that requires being intelligent and having the agency to use your curiosity... Only then, you can be able to react and create music in the moment. With regards to composition, we know that AI has been used to compose music for film and television for quite a few years.

That is a concern because AI is doing the work that musicians used to do. But when you hear those compositions by AI, they lack surprise, emotion, and even silence. I love dramatism in music, and for me, emotion in music is important, and AI is not there yet. As for how music gets to people, this is where we have seen tremendous changes. The many music platforms we have, such as Spotify, YouTube, iTunes, etc., use algorithm-based features, and they make musical recommendations based on what you listen to. We all know that AI is behind it.

Musicians would like to see algorithms suggest composers who are less known rather than those who are already popular. The new technology should democratize the field, make sure that people have access to things that are outside the mainstream, and learn to recognize musical traditions that are not only from the Western world. The leading authority in photography and camera gear. Can we call AI images art? In this deep dive, I explore what art is, how our perception changes over time, and what this means for AI-generated artworks. AI | Software | By Judyth Satyn | Last Updated: September 9, 2025

Shotkit may earn a commission on affiliate links. Learn more. Can AI-generated artworks be classified as true art? This debate is nothing new to those of us who are art lovers. The definition of art is constantly under scrutiny. AI-Generated Art: Can It Truly Be Considered Art?

In the age of artificial intelligence, creative expression is undergoing a radical transformation. AI-generated art and writing, created without significant human input, are flooding digital spaces, raising an urgent question: Can something produced by an algorithm truly be considered "art"? Eric: As someone who values human creativity and art history, my stance is clear—AI-generated works, devoid of meaningful human involvement, should not be considered true art. The Essence of Art: Human Intention and Expression Historically, art has been an extension of human experience—whether through the cave paintings of Lascaux, the emotional turbulence of Van Gogh, or the avant-garde experiments of the 20th century. Art is not just about aesthetics or technical execution; it is a reflection of human struggle, imagination, and cultural evolution.

AI, no matter how sophisticated, lacks the lived experience that fuels artistic expression. Should AI-Generated Art Be Considered Real Art? Art has always been an expression of creativity, imagination, and skill. But what happens when an artist is a machine? The rise of AI-generated art has sparked a debate in the art world – should it be considered real art or just a product of technology? As artificial intelligence continues to evolve, it’s time to examine this question and explore whether machines can truly create something that resonates with human emotions and experiences.

Join us as we dive into this fascinating topic and discover if AI-generated art is worthy of being called “real” art. Most people would agree that art is something that is created by a human. But what about when a machine creates something that looks like it could have been made by a human? Is it still considered art?This is a question that has been posed by the rise of artificial intelligence (AI) and its ability to create things that look and feel like they were made by... For some, the idea of AI-generated art is fascinating and opens up new possibilities for what art can be. For others, the idea is disturbing and raises questions about the future of art and creativity.So, what is art?

And should AI-generated art be considered real art?There is no single answer to these questions. Art can mean different things to different people. And whether or not AI-generated art should be considered real art is a matter of opinion.Some people believe that art must be created by a human in order to be considered real art. They argue that machines are not capable of understanding or creating complex concepts that are often found in works of art. For these people, AI-generated art is not really art at all.Others believe that anything created by an intelligent being, whether it’s a human or a machine, can be considered art. They argue that the definition of art should not be based on who or what created it, but rather on whether or not it is aesthetically pleasing or emotionally moving.

There are a few different ways that AI-generated art can be created. One way is for an AI system to be given a set of parameters and then left to create something within those parameters on its own. Another way is for a human artist to work with an AI system, using it as more of a tool than anything else.One example of AI-generated art is a painting created by the IBM... The painting was created by taking thousands of images of landscapes and then running them through algorithms that picked out certain colors and patterns. The final product was a completely unique painting that would not have been possible without the help of AI.Another example is a music album that was composed entirely by an AI system. The album was created by feeding the system a bunch of different sounds and samples, which it then used to create its own melodies and rhythms.

The end result was an album that sounded like nothing else out there.So, as you can see, there are different ways that AI-generated art can be created. It really just depends on how much input the humans have in the process. sometimes they act as more of a guide, while other times they let the machine create something completely on its own. The intersection of artificial intelligence (AI) and artistic creation has ignited a fervent debate: can AI-generated outputs legitimately be classified as ‘art’? This question delves into not only the definition of art itself but also the underlying mechanisms of AI algorithms and their role in the creative process. This article explores the technical underpinnings of AI art, examines philosophical perspectives on its classification, and analyzes the implications for artists and the art market.

AI art isn’t a monolithic entity; it encompasses a diverse range of techniques, primarily centered around generative models. These models learn patterns and structures from vast datasets of existing art and then use this knowledge to create novel outputs. Key techniques include: Generative Adversarial Networks (GANs): GANs consist of two neural networks: a generator and a discriminator. The generator creates images, while the discriminator attempts to distinguish between real images from the training dataset and those generated by the generator. This adversarial process drives both networks to improve, leading to increasingly realistic and creative outputs.

GANs are frequently used to generate photorealistic images, stylized artwork, and novel artistic styles. Common architectures include StyleGAN for high-resolution image synthesis and CycleGAN for style transfer. Variational Autoencoders (VAEs): VAEs are probabilistic generative models that learn a latent representation of the input data. They encode the input into a compressed, lower-dimensional latent space and then decode it back into an output. By sampling from this latent space, VAEs can generate new data points similar to the training data. VAEs are well-suited for tasks such as image generation, anomaly detection, and data compression.

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