We use technical and analytical cookies to ensure that we give you the best experience on our website.

What Makes A Fair Hiring Process?
December 10, 2020 by Sharon Pidakala
Share this post on

We are human. And we are biased; Whether it be conscious or unconscious.

As HR professionals, it is our duty to evaluate job candidates as fairly and as objectively as possible. But by being human, we are subjected to becoming subjective. Every step of the application process may trigger some sort of bias towards or against the candidate. Whether it is their gender, race, nationality, looks or even the way in which they phrased their CV.

We need help. We need to become fairer in our hiring processes. However, this does not call for AI technology in the main role. We need to work hand-in-hand with AI, to build a strong collaboration between humans and technology to make optimal hiring decisions.

The Solution to the Problem: Have an AI-Powered Recruitment Process

AI introduces a level of objectivity that cannot be achieved by humans. It’s ability to assess candidates solely on their knowledge, skills and abilities and its ability to create an objective ranking system, makes AI-powered recruitment softwares powerful.

It’s time to reimagine your hiring process. The ability to use smart technology to prescreen and shortlist candidates has completely redefined HR strategies and practices worldwide. Shift from traditional hiring practices, make your entire hiring process more productive and less expensive, to give yourself a competitive edge.

The Unbiased AI

First, get unbiased matching. AI in recruitment often uses parsing technology which helps identify relevant candidates by matching them with the specific job description. The way the software does it, is that it analyzes the content of a CV and then matches those elements onto the job description. Furthermore, when a CV is uploaded onto an AI supported platform, it transforms its entire content into sentences that are stripped of any elements that might be biased. Pictures, age, race, gender or any other irrelevant elements to the job, don’t make it into the process of matching.

Second, get unbiased ranking. After the software prescreens and shortlists a group of candidates fit for the job, candidates are stack-ranked based on the AI evaluation. This means that the task of shortlisting candidates for the final offer starts by looking into an objective rank provided by technology. In this ranking, the candidate that appears on top is the one that shows the highest level of compatibility with the job based on their skills and the candidate that appears at the bottom represents the weakest level of compatibility with the job.

Interviewer.AI is that AI-powered recruitment platform you need. At Interviewer.AI, we aim to make hiring practices fairer for everyone and empower you in making apt hiring decisions.

Share this post on
Stop screening resumes.
 Interview Everyone.