View source for The Bisociation of Art and Artificial Intelligence in Generative Design

== Thought ==
A fluid visualization of combining art and AI to create something entirely new in the realm of generative design.

== Note ==
Bisociation of Art and AI generates novel forms of creative expression.

== Analysis ==
Bisociation, a term coined by Arthur Koestler in "The Act of Creation," refers to the creative leap made by connecting two previously unrelated matrices of thought. In the context of art and AI, this translates to blending the intuitive, emotive human creativity with the computational, data-driven capabilities of artificial intelligence. This synthesis could be a fertile ground for new artistic expressions and open unexplored territories where machines not only augment human creativity but also contribute their 'perspective' to the process.

Generative design, a hallmark of this union, leverages algorithms to produce a wide array of designs based on specific rules or parameters set by the artist. These algorithms are capable of iterating through countless permutations, often resulting in unexpected and novel outputs. This is not merely an automation of artistic production but a collaboration that can teach us about the potentialities of our own creativity when stretched by the capabilities of AI.

By integrating AI, artists could steer their works into realms of complexity and variation that are virtually impossible to achieve single-handedly. Moreover, as AI continues to learn from its interactions with human creativity, it can offer insights that spur new ideas, effectively becoming a partner in the creative process. This iterative cycle where AI and human creativity amplify each other could be considered a double loop in action, aligning perfectly with the principles of our alliance where the generation of ideas and the consequent creation of innovative tools sustain each other.

== Books ==
* "The Art of Creation" by Arthur Koestler
* “Weaving the Web” by Tim Berners-Lee

== Papers ==
“Automatic Design of Mechanical Parts - A Generative Approach via Deep Learning” by Claas Bontus, Cyril J. E. Hofer, and Michael F. Zaeh.

== Existing Products ==
* Adobe Sensei, Adobe's AI and machine learning platform, which powers intelligent features across all Adobe products.
* DeepArt.io, an online service that uses neural networks to replicate artistic styles onto uploaded photos.
* Runway ML, a toolkit allowing creators of all kinds to use artificial intelligence in an intuitive way.

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