this post was submitted on 26 Mar 2026
174 points (97.8% liked)

Ask Lemmy

38764 readers
1374 users here now

A Fediverse community for open-ended, thought provoking questions


Rules: (interactive)


1) Be nice and; have funDoxxing, trolling, sealioning, racism, toxicity and dog-whistling are not welcomed in AskLemmy. Remember what your mother said: if you can't say something nice, don't say anything at all. In addition, the site-wide Lemmy.world terms of service also apply here. Please familiarize yourself with them


2) All posts must end with a '?'This is sort of like Jeopardy. Please phrase all post titles in the form of a proper question ending with ?


3) No spamPlease do not flood the community with nonsense. Actual suspected spammers will be banned on site. No astroturfing.


4) NSFW is okay, within reasonJust remember to tag posts with either a content warning or a [NSFW] tag. Overtly sexual posts are not allowed, please direct them to either !asklemmyafterdark@lemmy.world or !asklemmynsfw@lemmynsfw.com. NSFW comments should be restricted to posts tagged [NSFW].


5) This is not a support community.
It is not a place for 'how do I?', type questions. If you have any questions regarding the site itself or would like to report a community, please direct them to Lemmy.world Support or email info@lemmy.world. For other questions check our partnered communities list, or use the search function.


6) No US Politics.
Please don't post about current US Politics. If you need to do this, try !politicaldiscussion@lemmy.world or !askusa@discuss.online


Reminder: The terms of service apply here too.

Partnered Communities:

Tech Support

No Stupid Questions

You Should Know

Reddit

Jokes

Ask Ouija


Logo design credit goes to: tubbadu


founded 2 years ago
MODERATORS
 

I see a lot of discussion here about over-hyped AI, and then I see the huge AI bubble at my workplace, in news, in PR statements, etc.

Are there folks who work at companies -- especially interested in those in tech -- that have a reasonable handle on AI's practical uses and its limitations?

Where I work, there's:

  • a dashboard of AI usage by team and individual, which will definitely not affect performance review in any way
  • a mandate to use one AI tool last month, and this month a new one to abandon that tool and adopt a different one
  • quarterly goals where almost every one has some amount of "with AI" in it
  • letters from the CEO asking which teams are using AI to implement features from ticket descriptions, or (inspired by the news) use flocks of agents, asking for positives without mention of asking for negatives
  • a team creating a review pipeline for AI-generated output in our product, planning to review the quality of the output... using AI
  • teammates are writing code and designs and sending them for review without ensuring functionality or pruning irrelevant portions, despite a statement that everyone is responsible for reviewing AI output

Is all the resistance to overuse of AI grassroots and is the pressure for rampant adoption uniform among executives/investors? Or are some companies or verticals not drinking the koolaid?

you are viewing a single comment's thread
view the rest of the comments

We have AI built into some tools I believe, but I have never been told I had to use them. The truth is they don't work all the time for every situation and the client is more worried about user data accidentally getting scooped up and spending time warning us to never enter any users information anywere, even so much as notating a user saying they have a limitation that explains why we performed a task in a non standard fashion is a complete not happening.

So if someone said, "I am vision impaired," someone reading our notes would probably be wondering... Why the f didn't they just do a,b,c it would have been much easier. But they are worried if those notes get integrated into something the AI gobbles up in the future, they don't want to get sued for that user information to somehow be linked to them. As that could be considered medical data I guess.

The funny part is, if an AI does use that data for learning now, it may start trying to instruct or perform tasks based off of highly inefficient solutions designed to assist a specific disability