What can machines teach us in our journey of reproducing human scientific creativity?

In the race toward creating a strong AI, we have historicallyfocused on replicating human intelligence. For manyadvanced tasks such as language and image generation, complexclassifications in fields such as medicine, computer visionand other sensor data in self-driving cars, we have beensuccessful. However, for complex behaviours like creativity,we often deem machines incapable. Maybe we are desperateto have something of our own, that machines could never do.Maybe we are too prideful in our own intelligence. What ifwe were tasked to build a truly creative AI capable of intuitionand insight? What should we consider?Would replicating humanabilities be the best option, or could we make somethingeven better?This article holds a mirror up to us and explores scientificcreativity. We first explore the many properties that may allowmachines to surpass humans in creative insight, such asunbounded effort and lack of competition. We should exploitthese, rather than limit them in the attempt to make AI more‘human-like’. In the second half of this article, we realisethere are many traits we have overlooked in ourselves, thatwe should strive to emulate in machines. There is no doubtthat machines someday could mimic human creativity. Thepurpose of this reflection is to realise it is not about what wecan build, but what we should build.