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Diversity & Inclusion

HiringBranch proves that gender and native language don't matter

AI Governance in HiringBranch

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.

The Five pillars of HiringBranch AI 
Governance are:

Quality - we pride ourselves on producing reliable communication assessments that predict the ability of candidates to perform in their future work environment. To that end, we constantly monitor and validate our assessments performance. Contact us for information on our assessment methodology and validation procedures.

Security - the security of our assessments is a top priority for us. Several security layers and different security measures are integrated into our system to ensure the reliability of our results. Please contact us for detailed documents on security procedures.

Privacy - all candidate data is private and confidential. Candidate data can only be accessed by authorized users using the latest security access policies. HiringBranch complies with privacy and confidentiality policies including GDPR and PIPEDA. The Privacy Policy is here.

Fairness - our assessments treat all people fairly and do not discriminate against candidates based on their gender, race, sexual orientation, age, geographical region, nativity in the target languages, etc.

Transparency & Accountability - HiringBranch AI is based on rules-based systems. We produce easy to understand reports and keep an audit trail of the decisions it makes. The system’s decisions are constantly inspected by human evaluators, and in the rare cases where it is necessary, changes can be made. Contact us for more information.

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. As previously mentioned, gender, race, sexual orientation, age, location and native language data are not collected in assessments.

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 hired HiringBranch candidates' four-in-one assessment scores.

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 vs. female candidates

Results

We are delighted (but not surprised) to see that there is no significant difference in the assessment of scores of native versus non-native speakers of English or in male versus female candidates. We don't stop there, but continue to check for bias in our assessments on an ongoing basis.

About HiringBranch

HiringBranch is an AI-powered hiring assessment driving down costs and improving performance for hiring teams around the world. HiringBranch evaluates not only what candidates say, but how they say it. Quick, accurate and authentic, it’s a soft skills and language assessment in-one-go. Serving hiring teams in retail, sales, health and IT of sizes 100 to 10000+, you too can hire confidently and effortlessly.

Learn how you can start your proof of concept.

Book a demo
Download case study

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. That means gender, race, sexual orientation, age, location and native language data are not collected.

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 hired HiringBranch candidates' four-in-one assessment scores.

Results

We are delighted (but not surprised) to see that there is no significant difference in the assessment of scores of native versus non-native speakers of English or in male versus female candidates. We don't stop there, but continue to check for bias in our assessments on an ongoing basis.

Download case study

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Skills-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

Get your free report

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An exclusive look inside high-volume hiring outcomes

Employers don’t know conclusively whether the technologies they’re investing in actually lead to better hires… until now.
HR technology vendors… claim to measure soft skills, but few validate job performance.
- Jon Sumser, HR Examiner
Get it here

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 ability of technology to supercharge skills-based hiring by aligning it to performance and retention is one of the most significant developments we've seen in hiring for decades.
Matt Alder
The Future of Recruiting Podcast