As we all know fear is innovation´s worst enemy because it freezes our creativity which flows from a fearless sense of combinatorial job which mixes ideas, concepts, colors, forms, and theories.
Mark Rolston -cofounder and chief creative officer of argodesign– thinks that the actual advances in Artificial Intelligence will mark the beginning of a new set of hyper-personalized designing tools, a trend that will prove to be far more creative than most humans. Designers and artist must learn to adapt to this new times and accept Cognitive Computing as an augmentation of our skills.
- Symbolic creative machines: known as “good old-fashioned AI” (GOFAI) or symbolic AI, these are systems in which the human programmer plays a key role by writing a set of step-by-step instructions to guide the computer through a task. Despite the fact that symbolic AI is limited in its ability to adapt to environmental changes, it’s still possible for a robotic artist programmed this way to create an impressively wide variety of different outputs.
- Evolutionary algorithms (EA): this kind of solutions have been in use for several decades and remain powerful tools for design. In this approach, potential solutions “compete” in a software simulator in a Darwinian process reminiscent of biological evolution. The human programmer specifies a “fitness criterion” that will be used to score and rank the solutions generated by the software.
- Generative deep learning (DL) neural networks: this kind represent the newest approach and works when a human programmer “trains” the software architecture to recognize a particular feature in a dataset,. This networks have a tremendous and unexplored creative potential and are able to produce a broad range of original outputs like paintings, music, or poetry.
Contemporary research in Neuroscience has replaced the view that the creative act is a mysterious or even mystical event. Inspiring scientist like Margaret Boden have shown that creativity is grounded in ordinary mental processes and combinations of ideas which are generated in our brains all the time, but once again a Darwinian selection process is required to determine which ideas are truly innovative.
This systematic procedure, which we could assume is a biological computing operation, should not be so different from an algorithm functioning in an intelligent agent designed with a silicon substrate. As long as we keep hiding ourselves from this evidence we won’t be able to truly understand and enhance human creativity…
*(Picture: Ailadi for Argodesign).