AI is top of the class for creativity

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Creativity defines us as human beings – and seemingly defies the cold logic that lies behind the silicon curtain of machines.

, which researcher Mel Rhodes introduced in 1961, was an attempt to categorise the myriad ways in which creativity had been understood and evaluated until that point. Since then, the understanding of creativity has only grown.

Still others are surprised that the term “creativity” might be applied to nonhuman entities like computers. On this point, we tend to agree with cognitive scientist Margaret Boden, who has argued that the question of whether the term creativity should be applied to AI is aIt’s worth noting that we studied only the output of AI in our research. We didn’t study, which is likely very different from human thinking processes, or the environment in which the ideas were generated.

But regardless of the debate over definitions of creativity and the creative process, the products generated by the latest versions of AI are novel and useful. We believe this satisfies the definition of creativity that is now dominant in the fields of psychology and science.

Apparently, AI’s founders believed that creativity, including the originality of ideas, was among the specific forms of human intelligence that machines could emulate. To me, the surprising creativity scores of GPT-4 and other AI models highlight a more pressing concern: in schools, very few official programmes and curricula have been implemented to date that specifically target human creativity and

 

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