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[paper] Evidence of a social evaluation penalty for using AI

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  • Significance

    As AI tools become increasingly prevalent in workplaces, understanding the social dynamics of AI adoption is crucial. Through four experiments with over 4,400 participants, we reveal a social penalty for AI use: Individuals who use AI tools face negative judgments about their competence and motivation from others. These judgments manifest as both anticipated and actual social penalties, creating a paradox where productivity-enhancing AI tools can simultaneously improve performance and damage one’s professional reputation. Our findings identify a potential barrier to AI adoption and highlight how social perceptions may reduce the acceptance of helpful technologies in the workplace.

    Abstract

    Despite the rapid proliferation of AI tools, we know little about how people who use them are perceived by others. Drawing on theories of attribution and impression management, we propose that people believe they will be evaluated negatively by others for using AI tools and that this belief is justified. We examine these predictions in four preregistered experiments (N = 4,439) and find that people who use AI at work anticipate and receive negative evaluations regarding their competence and motivation. Further, we find evidence that these social evaluations affect assessments of job candidates. Our findings reveal a dilemma for people considering adopting AI tools: Although AI can enhance productivity, its use carries social costs.

  • Significance

    As AI tools become increasingly prevalent in workplaces, understanding the social dynamics of AI adoption is crucial. Through four experiments with over 4,400 participants, we reveal a social penalty for AI use: Individuals who use AI tools face negative judgments about their competence and motivation from others. These judgments manifest as both anticipated and actual social penalties, creating a paradox where productivity-enhancing AI tools can simultaneously improve performance and damage one’s professional reputation. Our findings identify a potential barrier to AI adoption and highlight how social perceptions may reduce the acceptance of helpful technologies in the workplace.

    Abstract

    Despite the rapid proliferation of AI tools, we know little about how people who use them are perceived by others. Drawing on theories of attribution and impression management, we propose that people believe they will be evaluated negatively by others for using AI tools and that this belief is justified. We examine these predictions in four preregistered experiments (N = 4,439) and find that people who use AI at work anticipate and receive negative evaluations regarding their competence and motivation. Further, we find evidence that these social evaluations affect assessments of job candidates. Our findings reveal a dilemma for people considering adopting AI tools: Although AI can enhance productivity, its use carries social costs.

    This apparent tension between AI’s documented benefits

    That is one hell of an assumption to make, that AI is actually a benefit at work, or even a documented one, especially compared to a professional in the same job doing the work themselves.

  • This apparent tension between AI’s documented benefits

    That is one hell of an assumption to make, that AI is actually a benefit at work, or even a documented one, especially compared to a professional in the same job doing the work themselves.

    A rudimentary quick Internet search will provide a good bit of the "AI benefits at work" documentation for which you seek. 🤷♂

  • This apparent tension between AI’s documented benefits

    That is one hell of an assumption to make, that AI is actually a benefit at work, or even a documented one, especially compared to a professional in the same job doing the work themselves.

    a benefit of ai is that its faster than a human. on the other hand, its can be wrong

  • This apparent tension between AI’s documented benefits

    That is one hell of an assumption to make, that AI is actually a benefit at work, or even a documented one, especially compared to a professional in the same job doing the work themselves.

    I think its honestly pretty undeniable that AI can be a massive help in the workplace. Not all jobs sure but using it to automate toil is incredibly useful.

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    X
    https://torrentfreak.com/internet-backbone-provider-hurricane-electric-sues-movie-companies-over-ridiculous-piracy-allegations-200612/ Hurricane Electric gets my vote.
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    C
    Won't someone think of the shareholders?!
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    It’s not a loophole though.
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    (Premise - suppose I accept that there is such a definable thing as capitalism) I'm not sure why you feel the need to state this in a discussion that already assumes it as a necessary precondition of, but, uh, you do you. People blaming capitalism for everything then build a country that imports grain, while before them and after them it’s among the largest exporters on the planet (if we combine Russia and Ukraine for the “after” metric, no pun intended). ...what? What does this have to do with literally anything, much less my comment about innovation/competition? Even setting aside the wild-assed assumptions you're making about me criticizing capitalism means I 'blame [it] for everything', this tirade you've launched into, presumably about Ukraine and the USSR, has no bearing on anything even tangentially related to this conversation. People praising capitalism create conditions in which there’s no reason to praise it. Like, it’s competitive - they kill competitiveness with patents, IP, very complex legal systems. It’s self-regulating and self-optimizing - they make regulations and do bailouts preventing sick companies from dying, make laws after their interests, then reactively make regulations to make conditions with them existing bearable, which have a side effect of killing smaller companies. Please allow me to reiterate: ...what? Capitalists didn't build literally any of those things, governments did, and capitalists have been trying to escape, subvert, or dismantle those systems at every turn, so this... vain, confusing attempt to pin a medal on capitalism's chest for restraining itself is not only wrong, it fails to understand basic facts about history. It's the opposite of self-regulating because it actively seeks to dismantle regulations (environmental, labor, wage, etc), and the only thing it optimizes for is the wealth of oligarchs, and maybe if they're lucky, there will be a few crumbs left over for their simps. That’s the problem, both “socialist” and “capitalist” ideal systems ignore ape power dynamics. I'm going to go ahead an assume that 'the problem' has more to do with assuming that complex interacting systems can be simplified to 'ape (or any other animal's) power dynamics' than with failing to let the richest people just do whatever they want. Such systems should be designed on top of the fact that jungle law is always allowed So we should just be cool with everybody being poor so Jeff Bezos or whoever can upgrade his megayacht to a gigayacht or whatever? Let me say this in the politest way I know how: LOL no. Also, do you remember when I said this? ‘Won’t someone please think of the billionaires’ is wearing kinda thin You know, right before you went on this very long-winded, surreal, barely-coherent ramble? Did you imagine I would be convinced by literally any of it when all it amounts to is one giant, extraneous, tedious equivalent of 'Won't someone please think of the billionaires?' Simp harder and I bet maybe you can get a crumb or two yourself.
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    Back in the day I just assumed everyone was lying. Or trying to get people worked up, and we called them trolls. Learning how to ignore the trolls, and not having trust for strangers on the internet, coupled with the ability to basically not care what random people said is a lost art. Somehow people forgot to give other the people this memo, including the "you don't fucking join social networks as your self". Anonymity makes this all work. Eternal September newbies just didn't get it.
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    While I completely agree with you about the absence of one-liners and meme comments, and even more left leaning community, there's still that strong element of "gotcha" in discussions. Also tonnes of people not reading an article before commenting (at a better rate than Reddit probably), and a generally even more doomer attitude is common here.
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    Forgive me for not explaining better. Here are the terms potentially needing explanation. Provisioning in this case is initial system setup, the kind of stuff you would do manually after a fresh install, but usually implies a regimented and repeatable process. Virtual Machine (VM) snapshots are like a save state in a game, and are often used to reset a virtual machine to a particular known-working condition. Preboot Execution Environment (PXE, aka ‘network boot’) is a network adapter feature that lets you boot a physical machine from a hosted network image rather than the usual installation on locally attached storage. It’s probably tucked away in your BIOS settings, but many computers have the feature since it’s a common requirement in commercial deployments. As with the VM snapshot described above, a PXE image is typically a known-working state that resets on each boot. Non-virtualized means not using hardware virtualization, and I meant specifically not running inside a virtual machine. Local-only means without a network or just not booting from a network-hosted image. Telemetry refers to data collecting functionality. Most software has it. Windows has a lot. Telemetry isn’t necessarily bad since it can, for example, help reveal and resolve bugs and usability problems, but it is easily (and has often been) abused by data-hungry corporations like MS, so disabling it is an advisable precaution. MS = Microsoft OSS = Open Source Software Group policies are administrative settings in Windows that control standards (for stuff like security, power management, licensing, file system and settings access, etc.) for user groups on a machine or network. Most users stick with the defaults but you can edit these yourself for a greater degree of control. Docker lets you run software inside “containers” to isolate them from the rest of the environment, exposing and/or virtualizing just the resources they need to run, and Compose is a related tool for defining one or more of these containers, how they interact, etc. To my knowledge there is no one-to-one equivalent for Windows. Obviously, many of these concepts relate to IT work, as are the use-cases I had in mind, but the software is simple enough for the average user if you just pick one of the premade playbooks. (The Atlas playbook is popular among gamers, for example.) Edit: added explanations for docker and telemetry
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    ... robo chomo?