Agents of Change: AI Art expanding boundaries of human creativity
Introduction
A new field of digital art is pushing the boundaries of creativity and profoundly changing how art is created. Artists create autonomous robots to collaborate with, feed data into algorithms, and train machines to create new visual works. They use computer programs that mimic the human mind to create an endless stream of unique artworks. Artificial intelligence has emerged as a desirable artistic collaborator.
What is AI Art
AI art is art created with the help of artificial intelligence. AI is a branch of computer science that focuses on developing machines that can mimic human intelligence or even simulate the human brain using algorithms.
AI can generate new works through machine learning, which employs a variety of self-learning algorithms that derive knowledge from data. AI art results from a collaboration between an artist and an AI system. Still, the level of autonomy varies greatly, and the outcome heavily depends on the quality of the data from which the AI learns.
Artists use AI as a creative tool and collaborate with algorithms to set up particular guidelines through which machines analyse thousands of images to comprehend a specific creation process, such as a specific style or aesthetic.
The algorithms generate novel forms, shapes, figures, and patterns to create new works. AI artists work alongside creative coders, statisticians, computer scientists, and neuroscientists to create machines that push the limits of human creativity.
How to make AI Art
AI art can be created in a variety of ways. One can create images in the style of others, create unique graphics based solely on text descriptions, or even embark on a journey to learn creative coding and create art solely with code. Numerous AI art tools are available, including Google Deep Dream, WOMBO Dream, and others.
Artificial intelligence not only works with artists to create new works and spark new ideas, but it can also aid in the detection of fraud and art forgeries that pollute the art world. Artificial intelligence (AI) tools change how conservators and collectors think about art attribution.
In 2021, Art Recognition, a Swiss company, made headlines by authenticating a refuted artwork said to be created by Peter Paul Reubens and implying that the painting Samson and Delilah (ca. 1609) in London's National Gallery is not actually by Rubens.
Conclusion
AI technology does not need to examine paint and paper or access the original work because it analyzes different work features, such as brushstrokes and patterns.
It can only determine authenticity through a digital photograph without investigating the work's invisible layers using traditional authentication methods such as microscopy, X-ray technology, or infrared reflectography.
Even though the technology's creators admit that the process is not always perfect and claims to detect forgeries with an accuracy of more than 90%, AI appears to comprehend the mysteries of artistic genius more effectively than we do.
