RESOURCES

Field Notes On Hiring, Screening And What AI Can't Do.

Written by the people building the product and the recruiters using it. No thought leadership, no predictions about 2030 just what worked, what broke and what the data said.

Ethics & AI

Where AI screening quietly reintroduces bias

Removing names is the easy part, and most teams stop there. The signals that leak through afterwards postcodes, employment gaps, the phrasing of a bullet point are the ones that end up deciding outcomes.

Samuel Reiss

Co-founder & CTO . 22 min read

Browse By Category

All articles
Product
Research
Playbooks
Ethics & AI
Hiring
Guide

Ethics & AI

Where AI screening quietly reintroduces bias

Samuel Reiss

22 min read

Ethics & AI

Where AI screening quietly reintroduces bias

Samuel Reiss

22 min read

Ethics & AI

Where AI screening quietly reintroduces bias

Samuel Reiss

22 min read

Guide

The AI Hiring Architecture Guide: Patterns, Rubrics & Audit Trails

a woman wearing a brown hooded jacket
Sarah Mitchell

9 min read

Guide

The AI Hiring Architecture Guide: Patterns, Rubrics & Audit Trails

a woman wearing a brown hooded jacket
Sarah Mitchell

9 min read

Guide

The AI Hiring Architecture Guide: Patterns, Rubrics & Audit Trails

a woman wearing a brown hooded jacket
Sarah Mitchell

9 min read

Playbooks

Writing a hiring rubric your panel will actually use

man in black button-up shirt
Daniel Morgan

8 min read

Playbooks

Writing a hiring rubric your panel will actually use

man in black button-up shirt
Daniel Morgan

8 min read

Playbooks

Writing a hiring rubric your panel will actually use

man in black button-up shirt
Daniel Morgan

8 min read

Research

We scored 40,000 applications twice. Here's the drift.

a woman standing next to a body of water
Nadia Okonkwo

14 min read

Research

We scored 40,000 applications twice. Here's the drift.

a woman standing next to a body of water
Nadia Okonkwo

14 min read

Research

We scored 40,000 applications twice. Here's the drift.

a woman standing next to a body of water
Nadia Okonkwo

14 min read

Hiring

The application-forty problem

a man wearing sunglasses
Michael Brooks

22 min read

Hiring

The application-forty problem

a man wearing sunglasses
Michael Brooks

22 min read

Hiring

The application-forty problem

a man wearing sunglasses
Michael Brooks

22 min read

Ethics & AI

What the EU AI Act actually requires of hiring teams

a woman wearing a brown hooded jacket
Olivia Bennett

16 min read

Ethics & AI

What the EU AI Act actually requires of hiring teams

a woman wearing a brown hooded jacket
Olivia Bennett

16 min read

Ethics & AI

What the EU AI Act actually requires of hiring teams

a woman wearing a brown hooded jacket
Olivia Bennett

16 min read

Product

Changelog: rubric versioning and score history

Lucia Marchetti

4 min read

Product

Changelog: rubric versioning and score history

Lucia Marchetti

4 min read

Product

Changelog: rubric versioning and score history

Lucia Marchetti

4 min read

Playbooks

Running a parallel pipeline without doubling the work

Rahul Khana

9 min read

Playbooks

Running a parallel pipeline without doubling the work

Rahul Khana

9 min read

Playbooks

Running a parallel pipeline without doubling the work

Rahul Khana

9 min read

Research

Structured interviews still beat everything else

Jenny William

26 min read

Research

Structured interviews still beat everything else

Jenny William

26 min read

Research

Structured interviews still beat everything else

Jenny William

26 min read

Rishabh Jain

Director of People Ops
APERTURE LABS

“FairHire removed a huge amount of manual work for us. Screening, scheduling, scorecards and candidate comms are connected now, which gave the team back the part of the week they used to lose to admin.”

0+

Hours saved per week

0x

Faster shortlist creation

  • Shia Daly

    Chief People Officer
  • Amelia Chen

    VP Talent
  • Rishabh Jain

    Director of People Ops
  • Marcus Whitfield

    Head of Talent Acquisition
  • Ingrid Sørensen

    Global Head of Recruiting
  • Daniel Okoro

    Recruiting Manager

Rishabh Jain

Director of People Ops
APERTURE LABS

“FairHire removed a huge amount of manual work for us. Screening, scheduling, scorecards and candidate comms are connected now, which gave the team back the part of the week they used to lose to admin.”

0+

Hours saved per week

0x

Faster shortlist creation

  • Shia Daly

    Chief People Officer
  • Amelia Chen

    VP Talent
  • Rishabh Jain

    Director of People Ops
  • Marcus Whitfield

    Head of Talent Acquisition
  • Ingrid Sørensen

    Global Head of Recruiting
  • Daniel Okoro

    Recruiting Manager

Rishabh Jain

Director of People Ops
APERTURE LABS

“FairHire removed a huge amount of manual work for us. Screening, scheduling, scorecards and candidate comms are connected now, which gave the team back the part of the week they used to lose to admin.”

0+

Hours saved per week

0x

Faster shortlist creation

  • Shia Daly

    Chief People Officer
  • Amelia Chen

    VP Talent
  • Rishabh Jain

    Director of People Ops
  • Marcus Whitfield

    Head of Talent Acquisition
  • Ingrid Sørensen

    Global Head of Recruiting
  • Daniel Okoro

    Recruiting Manager

Rishabh Jain

Director of People Ops
APERTURE LABS

“FairHire removed a huge amount of manual work for us. Screening, scheduling, scorecards and candidate comms are connected now, which gave the team back the part of the week they used to lose to admin.”

0+

Hours saved per week

0x

Faster shortlist creation

  • Shia Daly

    Chief People Officer
  • Amelia Chen

    VP Talent
  • Rishabh Jain

    Director of People Ops
  • Marcus Whitfield

    Head of Talent Acquisition
  • Ingrid Sørensen

    Global Head of Recruiting
  • Daniel Okoro

    Recruiting Manager
GET IN TOUCH

Finally, A Hiring Platform That Adapts To Your Process Not The Other Way Around.

GET IN TOUCH

Finally, A Hiring Platform That Adapts To Your Process Not The Other Way Around.

GET IN TOUCH

Finally, A Hiring Platform That Adapts To Your Process Not The Other Way Around.

GET IN TOUCH

Finally, A Hiring Platform That Adapts To Your Process Not The Other Way Around.

FREQUENTLY ASKED QUESTIONS

Everything hiring teams ask before they switch.

What exactly is FairHire AI, and how is it different from an ATS?
An ATS stores your pipeline. Fair Hire works inside it—screening, shortlisting, interviewing, and insights, while AI automates repetitive tasks and humans make every decision with full transparency and control.
Does the AI reject candidates on its own?
No. Fair Hire does not make the final call. It surfaces signals, applies your rubric consistently, and flags candidates for review — while hiring decisions always stay with a named human.
How do you handle bias and fairness monitoring?
Fair Hire monitors outcomes across the funnel and surfaces potential disparities. Fair Insights helps teams spot patterns, document decisions, and keep their hiring process aligned with a consistent, reviewable rubric.
Which ATS and HRIS systems do you integrate with?
Fair Hire works with the ATS and HRIS systems your team already uses. It sits on top of your existing workflow, connecting to your recruiting stack without requiring you to replace the systems you already rely on.
How long does implementation take?
Most teams can get started quickly because Fair Hire works with your existing stack. Setup typically focuses on connecting your systems, configuring your rubric, and training the team — so you can move from setup to active workflows without a lengthy rollout.
FREQUENTLY ASKED QUESTIONS

Everything hiring teams ask before they switch.

What exactly is FairHire AI, and how is it different from an ATS?
An ATS stores your pipeline. Fair Hire works inside it—screening, shortlisting, interviewing, and insights, while AI automates repetitive tasks and humans make every decision with full transparency and control.
Does the AI reject candidates on its own?
No. Fair Hire does not make the final call. It surfaces signals, applies your rubric consistently, and flags candidates for review — while hiring decisions always stay with a named human.
How do you handle bias and fairness monitoring?
Fair Hire monitors outcomes across the funnel and surfaces potential disparities. Fair Insights helps teams spot patterns, document decisions, and keep their hiring process aligned with a consistent, reviewable rubric.
Which ATS and HRIS systems do you integrate with?
Fair Hire works with the ATS and HRIS systems your team already uses. It sits on top of your existing workflow, connecting to your recruiting stack without requiring you to replace the systems you already rely on.
How long does implementation take?
Most teams can get started quickly because Fair Hire works with your existing stack. Setup typically focuses on connecting your systems, configuring your rubric, and training the team — so you can move from setup to active workflows without a lengthy rollout.
FREQUENTLY ASKED QUESTIONS

Everything hiring teams ask before they switch.

What exactly is FairHire AI, and how is it different from an ATS?
An ATS stores your pipeline. Fair Hire works inside it—screening, shortlisting, interviewing, and insights, while AI automates repetitive tasks and humans make every decision with full transparency and control.
Does the AI reject candidates on its own?
No. Fair Hire does not make the final call. It surfaces signals, applies your rubric consistently, and flags candidates for review — while hiring decisions always stay with a named human.
How do you handle bias and fairness monitoring?
Fair Hire monitors outcomes across the funnel and surfaces potential disparities. Fair Insights helps teams spot patterns, document decisions, and keep their hiring process aligned with a consistent, reviewable rubric.
Which ATS and HRIS systems do you integrate with?
Fair Hire works with the ATS and HRIS systems your team already uses. It sits on top of your existing workflow, connecting to your recruiting stack without requiring you to replace the systems you already rely on.
How long does implementation take?
Most teams can get started quickly because Fair Hire works with your existing stack. Setup typically focuses on connecting your systems, configuring your rubric, and training the team — so you can move from setup to active workflows without a lengthy rollout.
FREQUENTLY ASKED QUESTIONS

Everything hiring teams ask before they switch.

What exactly is FairHire AI, and how is it different from an ATS?
An ATS stores your pipeline. Fair Hire works inside it—screening, shortlisting, interviewing, and insights, while AI automates repetitive tasks and humans make every decision with full transparency and control.
Does the AI reject candidates on its own?
No. Fair Hire does not make the final call. It surfaces signals, applies your rubric consistently, and flags candidates for review — while hiring decisions always stay with a named human.
How do you handle bias and fairness monitoring?
Fair Hire monitors outcomes across the funnel and surfaces potential disparities. Fair Insights helps teams spot patterns, document decisions, and keep their hiring process aligned with a consistent, reviewable rubric.
Which ATS and HRIS systems do you integrate with?
Fair Hire works with the ATS and HRIS systems your team already uses. It sits on top of your existing workflow, connecting to your recruiting stack without requiring you to replace the systems you already rely on.
How long does implementation take?
Most teams can get started quickly because Fair Hire works with your existing stack. Setup typically focuses on connecting your systems, configuring your rubric, and training the team — so you can move from setup to active workflows without a lengthy rollout.

Create a free website with Framer, the website builder loved by startups, designers and agencies.