Brittany Luce

You don't know who coded them, who trained them.

And when you're talking about a process as sensitive and existential as hiring, am I going to get this job or not?

It is scary to think that there could be, you know, an algorithm that was trained by someone who did not recognize their own biases, who then has encoded those biases into hiring algorithms, right?

So it doesn't recognize...

unconventional experience or something that you could explain if you just were able to talk to that hiring manager face to face to whatever, explain a gap in your resume or explain why, you know, your work as a circus clown would serve you well in this customer service job you're applying for.

Like, there's no opportunity to do that when you're just typing stuff into a box that's being scanned by a robot, you know?

We're talking about like a big kink in this process.

And Aki, you

Edo, chief correspondent at Business Insider, she pointed out recently that this kind of clog, I guess, is similar to what users might experience on dating apps.

And some companies like Greenhouse and LinkedIn have essentially added what on Tinder is a super like or on Hinge is a rose.

For those who don't know, it's like a special ping you can send on dating apps to show someone that you're really interested and you only get a few of them.

Same deal with Greenhouse's dream job feature, where you can tell a company you really, really want that job, but you only get to use that once a month.

What do you make of this comparison between searching for a job and searching for a date?

You know, both dating, online dating especially, and the job market, well, they're both markets, right?

They're matching markets.

And so you have people on either side of this transaction, let's call it, that are looking for their optimal match, right?

And so we kind of created a little situation with technology where then there's too much noise in the market, right?

We're not finding optimal matches because...

of all of the reasons we've been talking about, like the fake listings or just the inefficiency of the numbers game.

And so I think that people running these sites are now like, okay, we need a technological fix to this.