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

Technology
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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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    kirk@startrek.websiteK
    Turns out good web design skills does not always translate into other skills.
  • Microsoft Teams will soon block screen capture during meetings

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    D
    Well, 'proven wrong' is a bit of a stretch. 'will soon block screen capture' doesn't leave a lot of wiggle room, but also isn't that crazy to read into it that maybe it would block screen capture on the presenters screen... especially if you grant that it might only have control over the teams portion of the screen. I've had it black out windows on my own machine even when not presenting. But further than that, it's not fair to say everything has to be read only from the most or the least charitable viewpoints. Context is a thing and if you're even a little bit familiar with the history of software enshittification, it's reasonable to assume that an uncharitable reading is fair without assuming the app will now melt your computer for spare parts if you try something that is disallowed. 'As shitty as we can get away with' might be a good rule of thumb.
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    M
    A private company is selling cheap tablets to inmates to let them communicate with their family. They have to use "digital stamps" to send messages, 35 cents a piece and come in packs of 5, 10 or 20. Each stamp covers up to 20,000 characters or one single image. They also sell songs, at $1.99 a piece, and some people have spent thousands over the years. That's also now just going away. Then you get to the part about the new company. Who already has a system in Tennessee where inmates have to pay 3-5 cents per minute of tablet usage. Be that watching a movie they've bought or just typing a message.
  • X blocks 8,000 accounts in India under government order

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    gsus4@mander.xyzG
    'member Aug 6 2024: https://www.ft.com/content/31919b4e-4a5a-4eba-ada7-88d3fec455f8 ;D UK faces resistance from X over taking down disinformation during riots Social media site owner Elon Musk has also been posting jibes at UK Prime Minister Keir Starmer Waiting to see those jibes at Modi... And who could forget in April 11, 2024: https://apnews.com/article/brazil-musk-x-twitter-moraes-bef06c0dbbb8ed87495b1afbb0edf211 What to know about Elon Musk’s ‘free speech’ feud with a Brazilian judge gotta see that feud with Indian judges, nobody asked him to block 8000 accounts, including western media outlets, whatever is he gonna do?
  • The Document Foundation is proud to release LibreOffice 25.2.3

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    somethingburger@jlai.luS
    View -> User Interface -> Tabs It already exists but is nowhere near as good as MS Office (like everything with LO).
  • CrowdStrike Announces Layoffs Affecting 500 Employees

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    S
    This is where the magic of near meaningless corpo-babble comes in. The layoffs are part of a plan to aspirationally acheive the goal of $10b revenue by EoY 2025. What they are actually doing is a significant restructuring of the company, refocusing by outside hiring some amount of new people to lead or be a part of departments or positions that haven't existed before, or are being refocused to other priorities... ... But this process also involves laying off 500 of the 'least productive' or 'least mission critical' employees. So, technically, they can, and are, arguing that their new organizational paradigm will be so succesful that it actually will result in increased revenue, not just lower expenses. Generally corpos call this something like 'right-sizing' or 'refocusing' or something like that. ... But of course... anyone with any actual experience with working at a place that does this... will tell you roughly this is what happens: Turns out all those 'grunts' you let go of, well they actually do a lot more work in a bunch of weird, esoteric, bandaid solutions to keep everything going, than upper management was aware of... because middle management doesn't acknowledge or often even understand that that work was being done, because they are generally self-aggrandizing narcissist petty tyrants who spend more time in meetings fluffing themselves up than actually doing any useful management. Then, also, you are now bringing on new, outside people who look great on paper, to lead new or modified apartments... but they of course also do not have any institutional knowledge, as they are new. So now, you have a whole bunch of undocumented work that was being done, processes which were being followed... which is no longer being done, which is not documented.... and the new guys, even if they have the best intentions, now have to spend a quarter or two or three figuring out just exactly how much pre-existing middle management has been bullshitting about, figuring out just how much things do not actually function as they ssid it did... So now your efficiency improving restructuring is actually a chaotic mess. ... Now, this 'right sizing' is not always apocalyptically extremely bad, but it is also essentially never totally free from hiccups... and it increases stress, workload, and tensions between basically everyone at the company, to some extent. Here's Forbes explanation of this phenomenon, if you prefer an explanation of right sizing in corpospeak: https://www.forbes.com/advisor/business/rightsizing/
  • WhatsApp provides no cryptographic management for group messages

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    S
    Just be sure to add only the people you want to be there. I've heard some people add others and it's a bit messy