The findings make sense, provided that people who find themselves already inventive don’t actually need to make use of AI to be inventive, says Tuhin Chakrabarty, a pc science researcher at Columbia University, 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 by way of semantics and content material, Chakrabarty says, and AI-generated writing is stuffed with telltale giveaways, similar to very lengthy, exposition-heavy sentences that include a lot of stereotypes.
“These kinds of idiosyncrasies probably also reduce the overall creativity,” he says. “Good writing is all about showing, not telling. AI is always telling.”
Because tales generated by AI fashions can solely draw from the info that these fashions have been skilled on, these produced within the examine have been much less distinctive than the concepts the human members got here up with solely on their very own. If the publishing trade have been to embrace generative AI, the books we learn might develop into more homogenous, as a result of they’d all be produced by fashions skilled on the identical corpus.
This is why it’s important to review what AI fashions can and, crucially, can’t do properly as we grapple with what the quickly evolving know-how means for society and the economic system, says Oliver Hauser, a professor on the University of Exeter Business School, one other coauthor of the examine. “Just because technology can be transformative, it doesn’t mean it will be,” he says.