I have a small collection myself that I can post after I get some sleep, but IT is pushing for more AI usage and I would like to supply them with studies showing the negative cognitive, psychological, and social impacts

  • massive_bereavement@fedia.io
    4·
    2 days ago

    My suggestion is to go through the Computerphile youtube channel: https://inv.nadeko.net/channel/UC9-y-6csu5WGm29I7JiwpnA
    And check for the AI videos, it explains in technical details how AI works, and it is often putting it into a harsh, but reasonable light, in a very academic manner.

    With it, build your own story of why do you think it doesn’t fit in your company’s IT plan.

    I did a similar thing and my points were that automation is great when done correctly and carefully, if your automation produces mistakes, then you will have a big technical debt backlog in a very short period of time. Once we have that big bowl of spaghetti, we will have to eat it whole, and that means stopping everything to go through it as it has already happened in other companies (many articles detailing those failed POCs).

    I also reasoned that there are other automation options that can use non-LLM solutions (be it with ML or not) that can be sensible and solve the issues we are aiming at. Finally I concluded with a simple point: LLMs are a nascent technology that hasn’t been proved to be worth the economic, ecologic and implementation costs. It works great for very simple, very small issues, but it doesn’t scale. And there are nowadays better, cheaper solutions for said issues.

    (The economic angle is important!)

    EDIT: There was an additional angle I touched briefly but it resonated with the team: that those that rely on AI helpers do not strengthen those skills (like a muscle, if you don’t use it, you lose it). I gave an example regarding hackathons, code golf, etc… Being able to do something, doesn’t mean you can be better at it.

    RE:RE:RE:FINAL EDIT: In StackOverflow, how many times the most voted answer wasn’t the one that fit my problem? Or there was one that, in context, was better? Maybe a comment below that answer clarified a very important aspect… etc… None of these remarks are taken into account when the LLM mixes everything, and the weighing system won’t care for nuance, when our wold is full of it.

    AI is mediocre because it mixes the good with the bad and makes it below average as a generation engine.