Ideation is a delicate balance of logic and imagination. It’s something that cannot be forced into existence but must instead blossom from raw materials. Whether it’s exploring new mediums, expanding your knowledge base, or simply experimenting with new techniques and topics, creative development is a continual process for any artist as we often struggle to generate ideas. When we lack inspiration, our work suffers. The AI-powered world has already changed how we interact with products and services.
Now it’s time to explore how AI can change the way we construct art. The mesh of artificial intelligence into the creative process remains in the early doors, but there are several ways in which AI will transform the world of art as we know it today. From concept to creation, AI will continue to expand our artistic horizons. This article lists 3 ways AI-generated art could impact creative development in the future.
Understanding the creative process
Any experienced artist will tell you that creativity is not something that can be forced or cajoled into existence. As such, it’s a delicate balance of logic and imagination that can’t be hacked. A good creative brief, whether it’s for a specific project like a website, poster, or TV commercial, or for a long-term creative strategy is vital to providing both a creative space for ideas to flourish and a guide for how to navigate that creative space.
AI-powered creative tools are not designed to replace the creative brief, but instead to help artists work within the parameters set out by the brief and allow them to focus on what they do best. Creative tools that are able to assist in ideation, brainstorming, and creation are likely to become increasingly commonplace as technology evolves.
AI-produced art and animation
Artificial intelligence is quite literally changing the way we see art, as it’s being applied to the production of visual art and animation. One of the most exciting developments in this area is Google’s DeepDream, a visual recognition algorithm that uses artificial neural networks to “dream” images. What started as a research project to train neural networks to recognize images has since evolved into a fully functioning and engaging art project. DeepDream’s algorithms have been used to produce everything from trippy and psychedelic images to more surreal and darkly dystopian artwork. The technology has also been used to animate short films, explore the science-fiction concept of a computer-generated nightmare, and even retool classic Disney images.
Advancements in digital art and animation
These days, it’s not uncommon to see art that was created by AI. This isn’t because artists have been replaced by robots, but because AI has become so advanced that it can mimic and even surpass human creativity. Take, for example, this AI-powered painting.
It was created entirely by an algorithm named Ollynol and is a unique piece of art that no human has ever produced before. What’s interesting about this particular example is that the algorithm was trained to paint by looking at thousands of human-produced paintings. The algorithm then used what it had learned from this data to create its own painting. The freedom of creativity that AI offers artists and designers is truly unprecedented.
AI-based collaboration tools
Artificial intelligence isn’t only impacting the creative process by producing new art and animation; it’s also changing the way artists and creatives interact with one another. A prime example of this is the app Figma, which allows designers and clients to collaborate on projects in real-time using AI. Figma lets users take advantage of natural language processing to communicate, as well as artificial intelligence to track the project’s progress and facilitate communication. Figma represents a new way of working that will enable creatives to be more efficient and clients to be more involved in projects.
Artificial intelligence has the potential to improve all aspects of the creative process — from ideation to execution — and it won’t be long before we start to see these technologies come to fruition. However, there are some limitations to AI tools that can be challenging for artists who are interested in creating art with them. Art created by AI is different from art created by humans because it is generated by a computer, which means AI art can be replicated infinitely without the artist ever repeating their work. It will be crucial for creatives to understand how AI can support and augment their work, rather than simply replacing them.
What do you think? Would you like to see more AI-generated art in the future? Does this hurt the creative development process more than help it? Let us know.
