this post was submitted on 04 Apr 2025
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Most Americans think AI won’t improve their lives, survey says (arstechnica.com)
submitted 5 days ago by technocrit@lemmy.dbzer0.com to c/technology@lemmy.world
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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.

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[–] moonlight@fedia.io 21 points 5 days ago (6 children)

Depends on what we mean by "AI".

Machine learning? It's already had a huge effect, drug discovery alone is transformative.

LLMs and the like? Yeah I'm not sure how positive these are. I don't think they've actually been all that impactful so far.

Once we have true machine intelligence, then we have the potential for great improvements in daily life and society, but that entirely depends on how it will be used.

It could be a bridge to post-scarcity, but under capitalism it's much more likely it will erode the working class further and exacerbate inequality.

[–] MangoCats@feddit.it 2 points 5 days ago

Machine learning? It’s already had a huge effect, drug discovery alone is transformative.

Machine learning is just large automated optimization, something that was done for many decades before, but the hardware finally reached a power-point where the automated searches started out-performing more informed selective searches.

The same way that AlphaZero got better at chess than Deep Blue - it just steam-rollered the problem with raw power.

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