Machine learning and ideation

Machine learning, a branch of artifical intelligence, AI, and related to computational statistics, is based on the idea that computer systems can learn from data, without being explicitly programmed, identify patterns ("object detections") and make decisions with minimal human intervention.This may suggest machine learning could be a useful tool for practising designers when making decisions about idea implementation. But for a machine to aquire a lot of information ("data mining") and making data-driven predictions or decisions is not the same as humans being capable of generating original and sustainable ideas because machine learning, from a computationalist perspective, in its attempt at mimicking the human decision making process, is not conscious of its own computations, and therefore lacking "human conscious". So while machine learning may help develop and implement ideas, and become an ideation tool, it doesn't replace human intervention in idea generation.