Recruiting Talks

Recruiting Talks An open community for curious recruiters

This space is to discuss about the latest recruitment trends, tips, hacks, case studies and some of the best global recruiting practices.

03/03/2026

Have you ever wondered about the margin of errors in the AI Assessment tools? The numbers sure seem negligible, but does it mean that it's impact will be too?

Most AI tools come with preset parameters.

You cannot stand up and leave the screen
You cannot have an additional keyboard, mouse or monitor in the vicinity
Your camera should be turned on at all times
You cannot switch to different tabs.
You should have a solid network coverage
You should not see outside your screen
and a 1000 more like these.

My question is, If the AI can evaluate a human only if these 1000 parameters are met, and still end up leaving room for 10 to 20% errors, have you thought about the impact it can do.

Out of 100 candidates you assess, you could argue that only 10% are errors. You sure are gaining traction with the remaining 80-90 candidates, which perhaps is enough for you to close the position.

But for every 100 candidates who go through your assessment, 10 to 20 candidates are walking out without knowing why the tool rejected them, dreading why they even spent their time in such a process, and it's your brand that's taking the hit.

The rate of damage may seem negligible, but it sure is damaging enough one step at a time.

People say AI can remove biases in the hiring process. But, is that what we want in Recruitment?I know the designation p...
25/02/2026

People say AI can remove biases in the hiring process. But, is that what we want in Recruitment?

I know the designation patterns of quite a few tech companies. So, when I see a candidate saying otherwise in his/her resume, I begin to cross-check more about the candidate.

Contract employees working in large IT services companies mandatorily follow a timesheet process to track their billable hours. So, if a contract employee of one such company is not aware about this process, I doubt the genuinity of the candidate.

When I see a contract candidate moving from one big services company to another under the same payroll company without any gaps or breaks in-between, I get wary of those profiles. Times when a Full-time employee do not get to move from one project to another without any time gaps, a contracting company moving its employee from one client to another without any time gaps is a rarity. I scrutinise more on those CVs.

There are a ton more like these.

So when I see a CV and reserve my judgement immediately, it could seem like I'm throwing my bias into it.

Sure, that's one way to put it.

But these biases are something that I've arrived at after connecting with hundreds and thousands of candidates.

These biases have helped me bring down sourcing errors to a larger extent.

You cannot rule them all out as biases outright. These are evidence based sourcing instincts cultivated over years of experience.

So my question is, when you say AI can remove biases in the hiring process, are you inviting these errors into your hiring?

If you are into recruitment, would you like to see an AI tool devoid of all your sourcing instincts?

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