Why are you applying for jobs that you're not qualified for? Even if you BS your way through the interviews you'll have to actually do the work.
Comment on AI hiring tools may be filtering out the best job applicants
Rentlar@lemmy.ca 4 months ago
Of course AI does has bias with casual racism and sexism. It’s been trained on a whole workforce that’s gone through the same.
I’ve gotten calls for jobs I’m way underqualified for with some sneaky tricks, which I’ll hint involves providing a resume that looks normal to human eyes, but when reduced to plaintext essentially regurgitates the job posting in full for a machine to read. Of course I don’t make it past 1 or 2 interviews in such cases but just a tip for my fellow Lemmings going through the bullshit process.
FaceDeer@kbin.social 4 months ago
Rentlar@lemmy.ca 4 months ago
Buckshot strategy. I applied to hundreds of jobs over the year. Some had intermediate/junior in the position. Some were just at companies I wanted to be at more, even if not that specifically.
livus@kbin.social 4 months ago
I apologize if the use of that term is disrespectful to your username
I love how thoughtful you are.
Voroxpete@sh.itjust.works 4 months ago
You’ve not looked at job postings in a while, have you?
No one is “qualified” for anything anymore. I’ve literally seen postings with requirements like “8 years experience with [Programming Language]” when said language was only created 3 years ago.
They’re all written by HR drones with zero understanding of the actual needs of the department they’re hiring for.
You have to apply for things you’re unqualified for if you want to get anywhere now.
FaceDeer@kbin.social 4 months ago
I actually was on the job market just a few months back for the first time in 15 years. Those sorts of comedy postings are not common. It's true that often the position doesn't require as much experience as the "dream candidate" they're asking for in the job posting, but A) they're aware of that, and B) they take that into account when screening resumes. Lying on your resume is not required, it's only going to waste everyone's time if you do.
bane_killgrind@kbin.social 4 months ago
"qualified" is a loaded term. Industry or product knowledge go a long way to succeed in quite a few businesses.
As an example "Unqualified" for sales might just mean the applicant doesn't have an MBA or whatever other degree, even though they have dealt with break fix service and other solution oriented work.
Similarly, if a sales rep went into installation or project management they would have a leg up.
Aceticon@lemmy.world 4 months ago
The worst project management I’ve ever seen was done by salespeople, probably because they’re laughably unrealistic about what is actually possible and how fast and how well it can be done, so overpromise all the time thus condemning a project to fail for the start (want to see a guaranteed deathmarch project: go look for any were a salesperson got put in charge), tend to expect that problems get solved with fast talk and change the requirement everytime they speak with customers/stakeholders.
That genuine optimist that comes from not examining something so close and in depth that you start seeing enough detail to spot the potential problems and start grasping the true scope of the task, which is maybe the best quality for selling stuff, is pretty much the worst quality for actually making stuff or lead those who make stuff (in this latter case because of being shit at setting and managing expectations).
Theirs is the last kind of personality you want managing the creating of anything in any way complex.
bane_killgrind@kbin.social 4 months ago
Yeah absolutely.
The best sales will actually understand their product in depth and will be able to educate their customer on it, though. They also won't waste their time with unrealistic expectations.
Rentlar@lemmy.ca 4 months ago
Yeah, I already said what I wanted to the other commentor, it has to do with titles, years of experience, degrees, visas. With a bit of training and a lot of effort on my part I could fulfill that role just fine but it was above thr expected paygrade for someone like me.
My interview skills aren’t the best. How I got the job I eventually got was not just more practice but because the questions that were asked of me were actually about what I know of the industry itself, which is something could just talk and talk and talk about that with them all day if that’s what they wanted.
FaceDeer@kbin.social 4 months ago
OP said "Of course I don’t make it past 1 or 2 interviews in such cases." So it seems pretty straightforward that he wasn't qualified, as in he wasn't going to succeed in those roles.
bane_killgrind@kbin.social 4 months ago
Not making it through the interviews doesn't indicate job success, it indicates job attainment. I'm saying job success is less related to listed qualifications than you might think.
ArmoredThirteen@lemmy.ml 4 months ago
How do you make something like that?
rimu@piefed.social 4 months ago
White text on a white page?
Rentlar@lemmy.ca 4 months ago
Are you a recruiter or someone making HR software?
ArmoredThirteen@lemmy.ml 4 months ago
No I do qa right now, working to shift back into gameplay programming
spujb@lemmy.cafe 4 months ago
tucking bonkers that institutionalized racism can exist to such a degree that it shows up IN OUR COMPUTERS.
we’re so racist we made the computers discriminatory too.
themurphy@lemmy.world 4 months ago
I don’t think you know how LLM’s are trained then. It can become racist by mistake.
An example is, that there’s 100.000 white people and 50.000 black people in a society. The statistic shows that there has been hired 50% more white people than black. What does this tell you?
Obvious! There’s also 50% more white people to begin with, so black and white people are hired at the same rate! But what does the AI see?
It sees 50% increase in hiring white people. And then it can lean towards doing the same.
You see how this was / is in no way racist, but it ends up as it, as a consequence of something completely different.
TLDR People are still racist though, but it’s not always why the AI is.
BluesF@lemmy.world 4 months ago
The bias is really introduced at the design stage. Designers should be aware of demographic differences and incorporate that into the model to produce something more balanced. It’s far from impossible to design models that do not become biased in this way - although I’m not saying it’s easy.
spujb@lemmy.cafe 4 months ago
you are right, i don’t know how LLMs are trained, but ironically, this is a perfect example of a minority being privelaged by a system.
an important assumption you have to consider: in your example, why did the AI know what race people are in the first place? it seems a small consideration but it’s so wildly significant.
the modern understanding of race was not present throughout all of history, and only arose in the 17th century. without getting into the weeds, the fact that your fictional AI can distinguish between whiteness and non-whiteness already means it was designed by someone who understands those structures, vis a vis, someone who has a modern understanding of race. a perfectly well-meaning and anti-racist designer would prevent the AI from even recognizing race at all costs, both directly by sanitizing training data to remove race from the inputs, and indirectly by noting correlations with other data (such as sports, in this article) and controlling for that.
Nollij@sopuli.xyz 4 months ago
I suppose it depends on how you define by mistake. Your example is an odd bit of narrowing the dataset, which I would certainly describe as an unintended error in the design. But the original is more pertinent- it wasn’t intended to be sexist (etc). But since it was designed to mimic us, it also copied our bad decisions.