Wednesday, September 17, 2025

🎨 AI in Art: Still Needed Human Artists 


The implementation of artificial intelligence technology has increased in the modern world. While AIs are being implemented on tasks such as running businesses and even in the medical field, the question that arises is: “can machines ever be able to produce art in a way that competes with human creativity?” and furthermore, “is there still a need for a human artist if the AI is capable of producing incredible pieces of art?”


These questions cannot be responded to without research. In this article, we will look into how AI is changing the world of art, including how it affects the work of the human artists and why, despite these advancements, humans will always remain the backbone of creativity.


Users of such tools can input a concept or a picture, and the AI system generates, enhances, or alters provocative artwork.  


Art Generation with Artificial Intelligence  


The ability of computers to create artwork is made possible by machine learning models, primarily called generative adversarial networks (GANs). These networks consist of two parts: a generator and a discriminator. The generator builds images based on random data and information; the discriminator forges images and ascertains whether they will be realistic or not. Through thousands of iterations, the generator learns how to create ever more lifelike images.  


AI has enabled the creation of portraiture to abstract art by applying algorithms to large datasets, allowing AI to reproduce countless methods from artists like Van Gogh, Picasso, or Rembrandt. Now, the all-encompassing genre and era of art turned into datasets enables these AI models to be taught, hence, the AI will be able to reproduce formats or even create entirely new visual experiences.  


Artificial intelligence in art changes and augments a creative process.  


The introduction of AI into the world of art poses a particular advanced and interesting question: AIs employ algorithms which improve the overall outcome while the art is still processed by the human hand; who takes the lead is highly debatable. The answer contains elements of both sides.  


Fostering Humanity’s Creativity.  


A different perspective states AI technologies does not replace artists but rather act as a friend applying creativity in unleashing novel ideas.


By generating concepts and providing assistance with the technical aspects of the artistic process, AI can facilitate artists’ exploration of new approaches and ideas.


An example of this is exhibited on the platform Artbreeder. The program allows users to blend images, changing colours, facial expressions, and even textures, to create stunning compositions that would otherwise be impossible to visualise. These new forms of digital art, which emerge from the collaboration between art and artificial intelligence, still ensure that the human being is the creator and the AI simply serves as an instrument that opens new doors of research. 


Use: Case Artbreeder enables character design specialists to create multiple character face variants in different art styles. This allows them to view multiple concepts and styles within minutes, accelerating the creative process and expanding their horizons. 


Reducing Time and Effort in Production


The time and effort required to produce artwork can also be cut down with the help of AI when it is used to perform mundane tasks such as experimenting with color schemes, adding textures, and adjusting proportions. AI can be used for repetitive tasks to improve the development process, allowing artists to shift their focus toward the project's core idea instead of fine-tuning trivial details for many hours. 


Take, for example, the artificial intelligence tool RunwayML, which gives users the option to add effects and edit videos in a way that was previously labor-intensive and technically difficult.


Leveraging AI for tasks such as VFX, frame edits, and background alterations allows creators to maintain their artistic vision while getting hours of tedious work done automatically. 


Case example: A director oversees a short film’s production on RunwayML. The AI system works on the post-production aspects of the film like scene changes, automated color grading, or effects and leaves the creative vision to the filmmaker. 


“Art in the Marketplace: An Other Age of Art Ownership” 


We are now beginning to witness AI’s foray into the art world with the advent of AI-generated art. There is a niche market for AI-generated NFTs where users can buy digital art created by machines. These pieces, dubbed “art,” whether abstract, hyper-realistic, or even surreal in nature, are being auctioned for increasingly high prices on platforms such as SuperRare and OpenSea, thus redefining traditional notions of art ownership and value. 


AI and NFTs: An Advencement  


AI-generated NFTs mark a new frontier, as they provide new avenues of profitability for artists—and AI developers. Unlike conventional painters, AI artists create reproductions of digitally created works secured by blockchain technology. The fusion of AI’s innovation and the NFT market is propelling digital art toward being recognized as art and worthy of collection. 


Use case: A digital artist paints an abstract artwork and collaborates with an AI model, turning the artwork into an NFT for sale on OpenSea.


An artist would benefit from the sale, and artificial intelligence would assist during the creative process.


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