Jesse Damiani is a writer, curator, and advisor who writes about art, media, and emerging technology on Forbes. He runs the realitystudies.co newsletter and Urgent Futures podcast.
“We risk a future in which we produce more...but we understand less,” according to Yale anthropologist Lisa Messeri and Princeton cognitive scientist M. J. Crockett .
“We risk a future in which we produce more—because certainly AI helps with efficiency—but we understand less,” Messeri said on the. “ narrows down the kinds of questions that we might ask, because there’s only certain questions that AI is really good at.” “If AI is further and further incentivized , we might have a scientific apparatus that is unintentionally building itself around projects and ideas that AI is particularly good at,” Messeri said.
They advocate for maintaining a responsible view of the tasks AI is uniquely helpful for, as well as the ones which might redundant or problematic. At base, that means being able to determine when a project actually doesn’t need AI at all.is a real risk,” Messeri said. “AI becomes the hammer and the whole problem space becomes nails; and you just miss the things that aren't nails if that's the case.
“One of the reasons that everyone's so hyped on AI right now is because every single big funding agency is funding AI work,” Messeri said. “They're saying, ‘Yeah, give us your AI proposals.’ They're actively pursuing this development. Our universities are saying, ‘Where's our AI task force? What's our AI task force going to do? Let's give faculty money who are doing AI stuff.’ So you're really incentivized institutionally to double down on AI.
AI Science Science AI AI Risk AI Epistemic Risk Epistemology AI AI Ethics AI Knowledge Lisa Messeri M. J. Crockett
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