Trust in AI technology and the companies that develop it is dropping, in both the U.S. and around the world, according to new data from Edelman shared first with Axios.

Why it matters: The move comes as regulators around the world are deciding what rules should apply to the fast-growing industry. “Trust is the currency of the AI era, yet, as it stands, our innovation account is dangerously overdrawn,” Edelman global technology chair Justin Westcott told Axios in an email. “Companies must move beyond the mere mechanics of AI to address its true cost and value — the ‘why’ and ‘for whom.’”

  • @Sterile_Technique@lemmy.world
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    211 year ago

    I mean, the thing we call “AI” now-a-days is basically just a spell-checker on steroids. There’s nothing to really to trust or distrust about the tool specifically. It can be used in stupid or nefarious ways, but so can anything else.

    • @reflectedodds@lemmy.world
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      321 year ago

      Took a look and the article title is misleading. It says nothing about trust in the technology and only talks about not trusting companies collecting our data. So really nothing new.

      Personally I want to use the tech more, but I get nervous that it’s going to bullshit me/tell me the wrong thing and I’ll believe it.

    • @SkyNTP@lemmy.ml
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      1 year ago

      “Trust in AI” is layperson for “believe the technology is as capable as it is promised to be”. This has nothing to do with stupidity or nefariousness.

    • @EldritchFeminity@lemmy.blahaj.zone
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      21 year ago

      I would argue that there’s plenty to distrust about it, because its accuracy leaves much to be desired (to the point where it completely makes things up fairly regularly) and because it is inherently vulnerable to biases due to the data fed to it.

      Early facial recognition tech had trouble identifying between different faces of black people, people below a certain age, and women, and nobody could figure out why. Until they stepped back and took a look at the demographics of the employees of these companies. They were mostly middle-aged and older white men, and those were the people whose faces they used as the data sets for the in-house development/testing of the tech. We’ve already seen similar biases in image prompt generators where they show a preference for thin white women as being considered what an attractive woman is.

      Plus, there’s the data degradation issue. Supposedly, ChatGPT isn’t fed any data from the internet at large past 2021 because the amount of AI generated content past then causes a self perpuating decline in quality.

    • @TrickDacy@lemmy.world
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      -21 year ago

      basically just a spell-checker on steroids.

      I cannot process this idea of downplaying this technology like this. It does not matter that it’s not true intelligence. And why would it?

      If it is convincing to most people that information was learned and repeated, that’s smarter than like half of all currently living humans. And it is convincing.

    • Politically Incorrect
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      1 year ago

      ThE aI wIlL AttAcK HumaNs!! sKynEt!!

      Edit: These “AI” can even make a decent waffles recipe and “it will eradicate humankind”… for the gods sake!!

      It even isn’t AI at all, just how corps named it Is clickbait.

      • @SlopppyEngineer@lemmy.world
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        61 year ago

        AI is just a very generic term and always has been. It’s like saying “transportation equipment” which can be anything from roller skates to the space shuttle". Even the old checkers programs were describes as AI in the fifties.

        Of course a vague term is a marketeer’s dream to exploit.

        At least with self driving cars you have levels of autonomy.

      • @Feathercrown@lemmy.world
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        1 year ago

        Before chatgpt was revealed, this was under the unbrella of what AI meant. I prefer to use established terms. Don’t change the terms just because you want them to mean something else.

        • @FarceOfWill@infosec.pub
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          51 year ago

          There’s a long glorious history of things being AI until computers can do them, and then the research area is renamed to something specific to describe the limits of it.