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At TED AI 2024, experts grapple with AI’s growing pains
A year later, a compelling group of TED speakers move from “what’s this?” to “what now?”…
Rather than sweeping predictions about, say, looming artificial general intelligence (although there was still some of that, too), speakers mostly focused on immediate challenges: battles over training data rights, proposals for hardware-based regulation, debates about human-AI relationships, and the complex dynamics of workplace adoption. The day's sessions covered a wide breadth: physicist Carlo Rovelli explored consciousness and time, Project CETI researcher Patricia Sharma demonstrated attempts to use AI to decode whale communication, Recording Academy CEO Harvey Mason Jr. outlined music industry adaptation strategies, and even a few robots made appearances. The shift from last year's theoretical discussions to practical concerns was particularly evident during a presentation from Ethan Mollick of the Wharton School, who tackled what he called "the productivity paradox"—the disconnect between AI's measured impact and its perceived benefits in the workplace.
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