Will machines ever be able to replace or replicate human creativity?
That is a question that we repeatedly ask ourselves as we continue to innovate and invent new creative tools.
But what has remained constant throughout history is the human element.
Though affected by those inventions, human thought has remained central to creativity.
Will that change with artificial intelligence?I think not.
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It dates back to decades ago.
But recent advances in neural networks anddeep learninghas spurred innovation and activity in the field.
Artists will also find inspiration and new ideas through the eccentric workings of AI algorithms.
One interesting program is style transfer.
A well-trained neural internet can map the style of one image onto another one.
The technique usesconvolutional neural networksto transfer the style of one image to another.
Heres Gatys explaining the technique in his own words.
Style transfer has become popular and has found commercial applications in social media platforms.
GANs have been pivotal to many creative AI projects, including apainting that sold for more than $432,000.
ArtistMario Klingerman used Pix2Pix to transform portraits into eerie, award-winning paintings.
He believes that AI can help spur human creativity to a new level.
But machines can create from scratch and will one day liberate us.
I hope machines will have a rather different sort of creativity and open up different doors, he said.
AI-assisted music
AI creativity has also found its way into the music industry.
There have been several exploratory projects on using AI to compose music.
Flow Machine uses Markov models to analyze musical patterns and create new ones.
The AI put together the basic tune.
Human composes then complemented the work with harmonies, instrumentation, and lyrics.
Society will decide whether someone is creative or not.
Musicians I had talked to spoke well of the results of folk-rnn.
Its creating transcriptions that can be used to create music.
But he also believes that computers are only machines and lack human qualities such as emotions.
Others have tried to help people overcome those prejudices byanthropomorphizing artificial intelligence.
The robots dont sport any special technology that would set them apart from other creative artificial intelligence projects.
Shimi taps its feet and nods its head.
There is much more tomusic-makingthan what note has been generated.
There is physicality and embodiment.
Thats whats cool and makes people buy tickets.
It takes into account both the final product and the process of producing it.
For us, thinking consists of receiving perceptions that the brain acts on and uses to create new knowledge.
This stands for fields such as classifying images, recognizing speech, andplaying games.
image) to their corresponding output (e.g.
Therefore, you might create an AI algorithm that replicates the same results as humans with remarkable accuracy.
But human creativity is much more than just mapping inputs to outputs.
Miller breaks down creativity into four stages: Conscious thought, unconscious thought, illumination, and verification.
In this sense, creativity is an intimately human and complicated experience.
Aside from your active thoughts, your past experiences play a very important role in the decisions you make.
In this respect, every person and every creative work is unique.
Therefore, it would be virtually impossible to create arule-based AI systemthat could imitate the human creative process.
We then reject most combinations, sometimes using our intuition.
Intuition is a much-misunderstood notion.
In a way, he might be right.
None of those AI systems possessed the commonsense and general problemsolving capabilities of the human brain.
Yet they proved to master complicated games at a level that rivals and exceeds that of human champions.
But like previous successes in AI, we might find surprises in our own creations.
