What if TalentAI gets it wrong?

You’ve finally settled into the rhythm of work. You’ve learned the acronyms, survived awkward meetings, and figured out where the good coffee is.

Then your performance review lands.

“Based on TalentAI insights…”

Pause.

TalentAI? The same system that once suggested you take “advanced onboarding training” three months after you finished onboarding?

Now it’s judging your performance.

So the questions start forming – quietly at first:

• If a bot decides my rating… who do I ask for feedback?
• Can I challenge an algorithm?
• Is there an appeals process… or do I submit a ticket and hope for mercy?
• If a bot assigns my work, can I say no? Or is that… insubordination?

And perhaps the biggest one:

Who’s responsible when the bot gets it wrong?

For those starting out – or feeling a bit stuck on the edges – this can feel unsettling. You’re already trying to prove yourself, find your voice, and understand the unwritten rules. Now add a layer that doesn’t explain itself, doesn’t notice your effort on a tough day, and definitely doesn’t say, “I might be wrong.”

Here’s the nudge:

Don’t quietly accept decisions you don’t understand.

Ask questions. Seek human context. Find someone who will translate the system back into something that makes sense.

Because workplaces might be getting smarter…

…but fairness, growth, and understanding?

They still need a human touch.