US experts who work in artificial intelligence fields seem to have a much rosier outlook on AI than the rest of us.

In a survey comparing views of a nationally representative sample (5,410) of the general public to a sample of 1,013 AI experts, the Pew Research Center found that “experts are far more positive and enthusiastic about AI than the public” and “far more likely than Americans overall to believe AI will have a very or somewhat positive impact on the United States over the next 20 years” (56 percent vs. 17 percent). And perhaps most glaringly, 76 percent of experts believe these technologies will benefit them personally rather than harm them (15 percent).

The public does not share this confidence. Only about 11 percent of the public says that “they are more excited than concerned about the increased use of AI in daily life.” They’re much more likely (51 percent) to say they’re more concerned than excited, whereas only 15 percent of experts shared that pessimism. Unlike the majority of experts, just 24 percent of the public thinks AI will be good for them, whereas nearly half the public anticipates they will be personally harmed by AI.

    • pinball_wizard@lemmy.zip
      link
      fedilink
      English
      arrow-up
      9
      arrow-down
      1
      ·
      1 day ago

      Every technology shift creates winners and losers.

      There’s already documented harm from algorithms making callous biased decisions that ruin people’s lives - an example is automated insurance claim rejections.

      We know that AI is going to bring algorithmic decisions into many new places where it can do harm. AI adoption is currently on track to get to those places well before the most important harm reduction solutions are mature.

      We should take care that we do not gaslight people who will be harmed by this trend, by telling them they are better off.

      • Womble@lemmy.world
        link
        fedilink
        English
        arrow-up
        4
        arrow-down
        2
        ·
        1 day ago

        Translations apps would be the main one for LLM tech, LLMs largely came out of google’s research into machine translation.

        • MonkderVierte@lemmy.ml
          link
          fedilink
          English
          arrow-up
          1
          arrow-down
          3
          ·
          9 hours ago

          If that’s the case and LLM are scaled up translation models shoehorned into general use, it makes sense that they are so bad at everything else.