The findings make sense, on condition that people who find themselves already artistic don’t really want 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 examine.
There are some potential drawbacks to profiting from 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 stuffed with telltale giveaways, comparable to very lengthy, exposition-heavy sentences that include a lot of stereotypes.
“These sorts of idiosyncrasies in all probability additionally cut back the general creativity,” he says. “Good writing is all about exhibiting, not telling. AI is at all times 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 examine have been much less distinctive than the concepts the human contributors got here up with completely on their very own. If the publishing business have been to embrace generative AI, the books we learn might develop into extra homogenous, as a result of they might all be produced by fashions skilled on the identical corpus.
Because of this it’s important to check what AI fashions can and, crucially, can’t do properly as we grapple with what the quickly evolving expertise means for society and the economic system, says Oliver Hauser, a professor on the College of Exeter Enterprise Faculty, one other coauthor of the examine. “Simply because expertise may be transformative, it doesn’t imply it will likely be,” he says.
