The findings make sense, on condition that people who find themselves already artistic don’t actually need to make use of AI to be artistic, says Tuhin Chakrabarty, a pc science researcher at Columbia College, who focuses on AI and creativity however wasn’t concerned within the research.
There are some potential drawbacks to making the most of the mannequin’s assist, too. AI-generated tales throughout the board are comparable when it comes to semantics and content material, Chakrabarty says, and AI-generated writing is filled with telltale giveaways, akin to very lengthy, exposition-heavy sentences that include a lot of stereotypes.
“These sorts of idiosyncrasies most likely additionally cut back the general creativity,” he says. “Good writing is all about exhibiting, not telling. AI is all the time telling.”
As a result of tales generated by AI fashions can solely draw from the information that these fashions have been skilled on, these produced within the research have been much less distinctive than the concepts the human individuals got here up with completely on their very own. If the publishing trade have been to embrace generative AI, the books we learn may develop into extra homogenous, as a result of they’d all be produced by fashions skilled on the identical corpus.
Because of this it’s important to review what AI fashions can and, crucially, can’t do effectively as we grapple with what the quickly evolving expertise means for society and the financial system, says Oliver Hauser, a professor on the College of Exeter Enterprise Faculty, one other coauthor of the research. “Simply because expertise will be transformative, it doesn’t imply it will likely be,” he says.