Diversity & Inclusion

HiringBranch Proves Gender and Native Language Don't Matter

Diversity & Inclusion

HiringBranch Proves Gender and Native Language Don't Matter

Summary
Fair and unbiased assessments are of utmost importance to us. That's why we went out of our way to prove gender and native language simply don't matter.

Background

As HiringBranch does not collect data about the candidates gender, race, sexual orientation, and nativity in the target language, we could only conduct fairness analyses based on obvious features that are either provided to us by our corporate clients (like the geographical region of the candidates) or that can be assigned to voice samples of random candidates by human annotators.

Fair and unbiased assessments are of utmost importance to us. We adhere to a zero-discrimination policy when assessing candidates. Our goal is to discover what a candidate can do, regardless of who they are.

0%
difference in performance between genders

Challenge:

In collaboration with an undisclosed customer, we set out to prove that biases don't belong in the workplace. Using sample population data provided by the customer, we cross referenced gender and native tongue data with the scores of candidates who completed the HiringBranch assessment.

Result:

The following scores were observed for nativity in the target language and gender.

Nativity in the Target Language

No significant difference was noted for the final score of native vs. non-native speakers of English:


Gender

No significant difference was noted for the final score of male versus female candidates:

We are delighted (but not surprised) to see that of all the candidates who passed the HiringBranch assessment, there was no significant difference in the scores of native versus non-native speakers of English, or in male versus female candidates.

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0%

difference in performance between genders

AI Governance in HiringBranch

The HiringBranch team continues to check for bias in our assessments on an ongoing basis.

HiringBranch is committed to the trustworthiness of its products. We take our clients’ need to be reassured about the impact, ethics, and accountability of our technology very seriously. The HiringBranch AI Governance Framework has been developed based on guidance from the Government of Canada’s Algorithmic Impact Assessment (AIA), the Institute of Corporate Directors (ICD) and NuEnergy.ai.

Our team is educated about the principles of AI Governance and is trained to identify the risks, ask the right questions, and seek solutions. We keep close track of the AI-related legislation around the world and comply with standards like the GDPR,PIPEDA or PIPA. We actively think ahead and address AI Governance as an integral part of our product development pipeline. To learn more visit our AI page.

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Inside the Best Language Model for Soft Skill Measurement

HiringBranch put their soft skills AI technology to the test. Does it read soft skills more accurately with proprietary data or the nearest best open-source language models?
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Organizations need to be able to measure soft skills accurately during the hiring process in order to take advantage of the skills-based hiring trend that’s happening now.
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What’s inside?

Packed with rich insights, this is an exclusive look inside HiringBranch data science. This study delivers hard proof around algorithm accuracy while revealing significant implications for high-volume hiring teams.

You’ll walk away with:

  • The results of this epic language model battle - who can measure soft skills most accurately?
  • A greater understanding of problem-solving techniques using data science and AI
  • An appreciation for the need for accuracy in the technologies driving hiring and operating processes today
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Accurate Soft Skill Measurement Matters

Soft skills can and should be measured accurately, whether that is a reality for most organizations today or not. Soft skills account for 85% of career success!



Skills-based hiring (measuring both soft and hard skills instead of degrees, experience, etc.) is a priority for approximately three-quarters of recruiting pros because it has been proven to improve candidate quality, reduce bad hire rates, increase revenue, and more.
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The experts weigh in on HiringBranch
The risk of using AI will be quickly outweighed by the benefits. Technologies that can show strong predictive results will be the game changers in moving hiring practices to the next level.
Howard Flint
WorkTech Advisory
The risk of using AI will be quickly outweighed by the benefits. Technologies that can show strong predictive results will be the game changers in moving hiring practices to the next level.
Howard Flint
WorkTech Advisory
Curious about soft skill measurement?
Check out these other great resources from HiringBranch.
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Skill-based hiring performance report:
AI edition

Skills-based hiring is on the rise. But how much does it improve performance? The results are in: skills-based hiring works. Find out just how much in this no-fluff, data-packed report on skills-hiring case studies from 100,000+ employee companies.
  • Data from over 5000 skills-hired candidates in 16 countries
  • 5 proprietary research studies
  • Metric analysis on high vs low skilled hires, attrition, and more
  • Expert input from AI scientists and leading HR influencers
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Soft skills are indicators of job performance

Skills-based hiring is still emerging, and early adopting organisations are already benefiting from the ability to measure soft skills and link this practice to hiring quality. HiringBranch soft skills AI is capable of better results than traditional methods of hiring.
HR technology vendors… claim to measure soft skills, but few validate job performance.
- Jon Sumser, HR Examiner
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What’s inside?

Learn what AI and skill-based hiring is capable of. Employers and contact centres can benchmark their performance, get cues for optimization strategies, implementation and more. Inside, we prove that:

  • Top-skilled candidates become top performers
  • Assessing language alone doesn’t improve performance
  • Highly-skilled candidates attrit less
  • Hiring for skills improves bad hire rates
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The experts weigh in on HiringBranch’s performance report
The risk of using AI will be quickly outweighed by the benefits. Technologies that can show strong predictive results will be the game changers in moving hiring practices to the next level.
Howard Flint
WorkTech Advisory
The risk of using AI will be quickly outweighed by the benefits. Technologies that can show strong predictive results will be the game changers in moving hiring practices to the next level.
Howard Flint
WorkTech Advisory

About HiringBranch

HiringBranch is an award-winning soft skills assessment tailored to high-volume hiring roles.  Only 30% of your candidate pool has the soft skills needed for job success and HiringBranch shows you who they are, before you even meet them. Powered by responsible and native AI, HiringBranch assessments uniquely measure skills in tailored, open-ended voice and chat scenarios with 98% accuracy. Start evaluating candidates for skills and select the top performers, every time.

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