The results make sense, since people who are Already Creation does not really need to use AI to be creative, explains Tuhin Chakrabarty, computer researcher at Columbia University, who specializes in AI and creativity but was not involved in the ‘study.
There are also potential drawbacks to take advantage of the help of the model. The stories generated by AI-AI are similar in terms of semantics and content, known as Chakrabarty, and the writing generated by AI is full of revealing gifts, such as very long and heavy sentences which contain many stereotypes .
“These types of idiosyncrasies probably also reduce global creativity,” he said. “Good writing is to show, not to say. AI is always revealing.
Since the stories generated by AI models can only draw data from which these models have been formed, those produced in the study were less distinctive than the ideas that human participants proposed entirely by themselves. If the publishing industry was to adopt a generative AI, the books we read could become more homogeneous, because they would all be produced by models formed on the same corpus.
This is why it is essential to study what AI models can and, above all, cannot do well because we attack what rapid evolution technology means for society and the economy, explains Oliver Hauser, professor at the University of Exeter Business School, another co-author of the study. “Just because technology can be transformer, that doesn’t mean that it will be,” he said.