If the structure is the same and the process is becoming more similar, then another thing that researchers use when comparing humans and AI is creativity could an AI system be creative?

In the book (the creativity code)8 this question is addressed.
The book begins its investigation, taking us from early calculation systems and computers up to the creation of neural networks and artificial intelligence, with the question: where does creativity come from? what does it mean to be creative?

It encircles creativity focusing on three factors, creativity as the drive to come up with something that is new, that is surprising, and that has value.

the AI system AlphaGo9 that defeated the world champion in the Chinese Go game, was built by DeepMind. They built its algorithm with a period of supervised learning, in the way an adult helps a child learn skills the adult has already acquired. They trained it on millions of Go games that have been digitally recorded and posted online. This is an amazing resource for a computer to trawl through, gleaning which moves gave the winners an edge. Such a large database allowed the computer to assign probabilities to all available moves, given a particular board position, based on their likelihood to contribute to a win. The second phase, known as reinforcement learning, is what gave the algorithm the edge in the long run. At this point the computer started to play itself, learning from each new game it generated. Playing against itself also allows the algorithm to probe its own weaknesses. After AlphaGo’s second phase of development through reinforcement learning, even the team at DeepMind was shocked at how powerful the new algorithm was. It was no longer constrained by the way humans think and play. AlphaGo had taught the world a new way to play an ancient game.
Deepmind had created an algorithm that could adapt and change as it interacted with its data so that, after a while, its programmer might not understand quite why it made the choices it did. These programs were starting to produce surprises: for once, we could get more out than we put in. They were beginning to be more creative.

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If the structure is the same and the process is becoming more similar, then another thing that researchers use when comparing humans and AI is creativity, could an AI system be creative?

In the book (the creativity code)4 this question is addressed,

It circles creativity around three factors, creativity as the drive to come up with something that is new, that is surprising, and that has value.

the AI system AlphaGo5 that defeated the world champion in the Chinese Go game, was built by DeepMind, they build its algorithm with a period of supervised learning, in the way an adult helps a child learn skills the adult has already acquired, they trained it on millions of go games that have been digitally recorded and posted online. This is an amazing resource for a computer to trawl through, gleaning which moves gave the winners an edge. Such a large database allowed the computer to assign probabilities to all available moves, given a particular board position, based on their likelihood to contribute to a win. The second phase, known as reinforcement learning, is what gave the algorithm the edge in the long run. At this point the computer started to play itself, learning from each new game is generated. Playing against itself also allows the algorithm to probe its own weaknesses. After AlphaGo’s second phase of development through reinforcement learning, even the team at DeepMind was shocked at how powerful the new algorithm was. It was no longer constrained by the way humans think and play. AlphaGo had taught the world a new way to play an ancient game.