The 2026 guide to bias in AI for recruitment
Job applications have tripled since 2022. You need AI to keep up.
But badly-built AI tools are biased. Getting it wrong carries regulatory risk.
This guide shows you how to hire fairly and effectively.

- 1. A 4-step framework to hire fairly using AI
- 2. How ChatGPT, Gemini, and Claude fail at hiring and show bias
- 3. Exact questions to ask vendors to spot tools that will get you sued
“An essential read for every Talent Leader in 2026”
Michelle Coventry VP Talent, Creandum

Applications per hire have tripled since 2022. Manual review is impossible.

77% of companies are using AI to screen in 2026. Your competitors already are. Can you afford not to?

But here's the problem: You have no idea if your AI is biased. And you're liable, not your vendor.
Meet Jill: The AI Recruiter built on the principles in this guide
"It’s been a lot faster to get good candidates from Jill than any agency we worked with. The quality of the matches has been very, very high."

"With Jill we went from brief to shortlist in a day, and everyone on that list was worth talking to."

"Jill's understanding of what we're looking for was surprisingly refreshing, and the breadth of search and passive model made it super lightweight for us to adopt as part of our hiring process."

"This speaks to 100,000 people, understands them deeply. That's a huge, massive advantage to a recruiter who can speak at maximum to 100 people."

How it works



(Unbeatable) Pricing
I charge 10% of first-year salary for roles I fill and give your money back if they leave within 3 months. Half the price of agency recruiters. 1000x the network.












