When it comes to large language model-powered tools, there are generally two broad categories of users. On one side are those who treat AI as a powerful but sometimes faulty service that needs careful human oversight and review to detect reasoning or factual flaws in responses. On the other side are those who routinely outsource their critical thinking to what they see as an all-knowing machine.

Recent research goes a long way to forming a new psychological framework for that second group, which regularly engages in “cognitive surrender” to AI’s seemingly authoritative answers. That research also provides some experimental examination of when and why people are willing to outsource their critical thinking to AI, and how factors like time pressure and external incentives can affect that decision.

  • BillyClark ( BillyClark@piefed.social ) 
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    6 months ago

    If you’re willing to abandon your thinking to AI, I’m guessing you weren’t too attached to it in the first place.

    If we let people freely continue in this manner, we’re going to evolve into two separate species, one of which we might as well call the Eloi, completely unable to think or perform any tasks for themselves.

    • Brave Little Hitachi Wand ( yakko@feddit.uk ) 
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      6 months ago

      I get you, but it’s important nuance that cognitive surrender is closely associated with external incentives and time pressure. If you’re being paid to do a boring task, e.g., and you don’t have enough time to do it, using AI is just the path of least resistance. I don’t condone it, but I can clearly see how it happens. It’s fun to talk shit on idiots though, as well.

  • Asetru ( Asetru@feddit.org ) 
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    6 months ago

    When it comes to large language model-powered tools, there are generally two broad categories of users. On one side are those who treat AI as a powerful but sometimes faulty service that needs careful human oversight and review to detect reasoning or factual flaws in responses. On the other side are those who routinely outsource their critical thinking to what they see as an all-knowing machine.

    This is the first paragraph of the article and I’m already up in arms against the writing… Painting it as a “two sides” situation with people that like AI on one side and people that like AI differently on the other side is just too off-putting. Did an AI write this?

    • Skua ( Skua@kbin.earth ) 
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      6 months ago

      Is that not just the article reflecting the study it’s talking about? It has users either accept or override the chatbot’s answer

    • Mothra ( Mothra@mander.xyz ) 
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      6 months ago

      Well, it says generally, and broad categories which leaves room for other cases not accounted for, apparently because they are a minority. One category of people who don’t question it, another category which remains open to the possibility of ai making mistakes.

      I’m curious, in your opinion, which are the other big groups of people that the article failed to mention?

            • Mothra ( Mothra@mander.xyz ) 
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              6 months ago

              Frequency of use it doesn’t interfere with what they are trying to measure: whether users consider the possibility of inaccurate answers, or whether they don’t.

              If frequency of use is taken into account, and they are only considering users who regularly use ai, then people who try to avoid using ai isn’t part of the data pool. These people belong to the minority we established irrelevant to the study.

              If, however, they are still surveying people who rarely use ai as well as frequent users, these people can still belong to either of the two categories they are studying: those who generally consider the possibility of receiving inaccurate answers, and those who don’t.

              Previously you said there are more groups of people which prove the dicothomy to be false, but I fail to see it that way.

              • Asetru ( Asetru@feddit.org ) 
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                6 months ago

                For the study that’s fine. I never argued the study should have more groups.

                It’s the article that should be more precise. An article that starts with “there are these two groups” for a study that simply studied these two groups but never said there weren’t more is wrong. So that’s bad writing.

  • danh2os ( danh2os@piefed.social ) 
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    6 months ago

    “those who treat AI as a powerful but sometimes faulty service that needs careful human oversight and review to detect reasoning or factual flaws in responses” Yep.

  • floofloof ( floofloof@lemmy.ca ) 
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    6 months ago

    In general, “fluent, confident outputs [are treated] as epistemically authoritative, lowering the threshold for scrutiny and attenuating the meta-cognitive signals that would ordinarily route a response to deliberation,” they write.

    People have always conflated confidence with ability and knowledge. That’s why so many positions of power are occupied by confident bullshitters. It seems like that tendency transfers over to people’s interactions with LLMs.

    It would be interesting to experiment with an LLM trained to sound less confident and more tentative or self-deprecatory. Maybe the results would be different.