Developed by IBM Research, the algorithms that created this image were divided into three parts that together approximated a creative process.

• First, the system had to pick what to draw. It read about 3,000 NYT articles about AI and extracted the 30 most salient concepts, like robot, self-driving, and computing. It went on to unearth the 10 that were most representative, from which one — a human and robot shaking hands — was chosen.
• To build its own version, a generative adversarial network, or GAN, was trained on more than 1,000 existing images to create new ones.
• To match the newspaper’s style, a final step sampled past NYT imagery and applied the design to the AI-generated image.

Importantly, every step depended on human-generated content for training data.

• The algorithms synthesized thousands of artworks created previously by humans to make something novel.
• This means AI can help creative people make new things — but it can’t make something unique on its own, said John Smith, a fellow at IBM Research who worked on the project:

"Creativity itself, which is the leap of thought or imagination to create something completely new, different and valuable is still an essentially human ability."

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