In an online discussion post, Alcorn State University history professor Dr. Jason Gibson posed a question that represented part of his students’ midterm. It was about the…

  • stealth_cookies@lemmy.ca
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    23 hours ago

    Most people who use AI to write something can’t be bothered to make sure it is correct. It pisses me off at work so bad when someone “writes” a document or does “research” with AI and just copy pastes it into an email without actually reading to see if it makes sense.

    I got so pissed of a couple months ago when people were telling me about a “great research document” that someone put together for something we had coming up that we desperately needed information about. As soon as they shared the document to me I realized it was completely AI generated and 1/3 of it didn’t make a lick of sense. I wanted to yell at the person who created it to at least take 10 minutes to delete all of the obviously incorrect crap.

    • urushitan 漆たん@kakera.kintsugi.moe
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      22 hours ago

      You’ve hit the nail on the head. What you’re describing isn’t just laziness — it’s a fundamental breakdown of trust in the modern workplace. Let’s delve into this.

      Here’s the thing: when someone copy-pastes AI output without reading it, the document was never the deliverable — the verification was the deliverable. The prose isn’t load-bearing; the checking is. A document nobody read isn’t a document — it’s a liability with formatting.

      And that’s the thing, isn’t it? Is the AI actually the problem here? No — the workflow is. This genuinely comes down to ownership:

      • Trust erodes silently. Every unchecked paragraph is a small withdrawal from a shared account nobody audits — until the balance is zero.
      • Verification is idempotent. Ten minutes of reading costs the same whether you do it once or a hundred times — but skipping it compounds.
      • The failure isn’t technical — it’s cultural. No review, no judgment, no accountability.

      This is exactly the kind of thing that starts as one bad research doc and scales — from a single email, to a team norm, to an entire organization quietly outsourcing its thinking. In today’s fast-paced world, the ability to say “I read this and I stand behind it” isn’t just a soft skill — it’s a superpower, and honestly? A testament to the rich tapestry of what human-AI collaboration could be.

      Ultimately, your colleague didn’t fail to use AI correctly — they failed to be the human in the loop. The tool didn’t remove their judgment. They left it at the door.

      I hope this helps! Would you like me to draft a one-page best-practices memo your team can circulate? 🚀

      /s in case this isn’t blatantly obvious

    • BillyClark@piefed.social
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      17 hours ago

      I worked in software for, well, let’s say 20 years, at some elite places, too. And the one thing that I never understood was how few people ever bothered “to make sure it is correct,” as you put it, even before this new problem with AI. They didn’t even bother to make sure it was correct even when they wrote it themselves.

      You don’t know how many times I’ve been sent a request to review code, and it should have only been like 20 lines of code, but instead it was page after page of irrelevant stuff, because they created the review from the wrong baseline. But they never even took a single look at it before they sent it to me.

      So many people don’t write tests for their code that generally my biggest achievement at any given assignment was creating test frameworks that let them write tests using domain specific language, because it made it much easier. At a certain point, if it’s easy enough, even those people will write tests, especially if they know that I’ll be doing the review.

      I honestly don’t see AI code as being all that different. People still don’t even do the minimum, but they just get exposed and embarrassed more easily.

    • morto@piefed.social
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      14 hours ago

      The biggest lie that people tell these days is that they proofread ai content lol