“There is no must in art because art is free”
Art is subjective, ambiguous and reactionary while AI is objective, universal and logical, at least on paper. So what happens when the two worlds collide?
Artificial intelligence is redefining the creative process with computers creating music, poetry, and more. According to the Association of Computational Creativity, the goal of computational creativity is to model, simulate or reproduce creativity.
AI as an imitator
Neural art style transfer is used to create works of art based on the data fed into it and uses deep neural networks to recreate, replicate and mix styles to produce new pieces.
Recurrent Neural Networks (RNNs) are a class of artificial neural networks associated with sequential models and time series that can mimic the work of writers. RNNs are mainly used in language translation and speech recognition.
Human collaboration and AI
AI can inform and inspire artists to discover ideas, connections, and patterns across huge sets of data points. For example, “trending emotions” around the world.
“Drawing or painting has never been my strength, because I have never been able to have the same control over the muscles in my hands as when I write code. So instead of fighting against my body to produce an image that I could have in my head, I preferred to learn how to order machines to do so. Now that I have the ability to create and control my own visual worlds, the question remains, what do I ultimately want to find there? Mario Klingemann, a German AI pioneer artist, says.
Harshit Agrawal, a computer-human interaction researcher, organized 60,000 images of human surgical dissections. He calls this the “human-machine creativity continuum,” a fusion of human and machine creativity.
Also Read: Meet Three Great AI-Based Artists in India
The ability of AI to independently create works of art is a moot point. Many AI systems do not need human intervention in the artistic creation process, but require human creative contributions and interventions in the learning process. It was observed that most people could not tell the difference between AI art and real human art. 75% of the time, subjects confused computer-generated images with art created by real artists.
The use of AI in art and culture raises ethical questions. ‘The next Rembrandt‘for example was created by analyzing 346 Rembrandt paintings pixel by pixel and enlarged by deep learning algorithms 351 years after the painter’s death. Every detail of Rembrandt’s artistic identity laid the foundation for the AI to work on.
When a human author is replaced by algorithms and machines, who owns the copyright and to what extent can it be exercised?
The issues of piracy, plagiarism, originality, and creativity have all come under scrutiny as to how we perceive and understand these terms. AI makes art from the data of existing works. If so, how original is the art of AI?
Rage against the machine
AI is changing our relationship with art and the way we perceive beauty, imagination, literature, music, and other fine art.
A work of art is preceded by social and historical patterns. It embodies cultural heritage and lived experiences. Art itself is mysterious, and it is often difficult to explain where creative ideas come from, and we tend to use vague notions of inspiration and intuition to define art. But art is a human condition; It reflects life.
What a machine lacks is the artistic process. Algorithms can create compelling images, but they live in a nurtured and isolated creative space that lacks social context. Human artists are influenced and inspired by people, places, movements, and they use these experiences to create transcendent works. The machine also lacks intent.
Will AI one day be able to create art as a form of resistance? Can he transgress in his own way, resist establishments or fuel revolutions? The collaboration of the two could be the future of art and could fundamentally change the world and our perceptions.
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