To find out how to interpret bias in recruitment, we also have a great eBook on inclusive hiring.
Blind hiring and screening approaches have become significant in recruitment recently and are now considered fair and objective. But what is blind screening? The blind screening involves a situation where the candidate’s personal information such as name, gender, age, or ethnicity is not known to the employer. This is to avoid the bias of conscience and make the process of employment be fair or meritocracy.
One of the AI-enhanced interviewing practices is the AI blind interviews, where an AI interviewer does not know about the personal and demographic details of the candidate. At times, AI blind interviews may also employ voice modulation to guarantee total anonymity. On the other hand, blind resumes are carefully edited versions, where personal information is removed, leaving only skills and experience, often processed through AI interview software.
Blind recruitment is defined as the process of making hiring decisions without regard to personal and demographic details. This approach has gained momentum, and recent blind hiring data indicate that organizations that practice these methods tend to see a rise in diversity as well as a decrease in hiring bias.
Blind Hiring.
In the late 1970s, as the world was changing around them, the Toronto Symphony Orchestra realised they had a problem. Specifically, a white male problem; the profile of nearly every musician.
In what is largely seen as the genesis of the blind interview, in 1980 the orchestra changed their audition process completely. Musicians were placed behind a screen so the auditioning panel couldn’t know the gender, race or age of the musician they were listening to. It’s said they even put down the carpet so the sound of high heels on the stage could not be heard.
All the panel could hear was the music.
Of course, the result of this blind screening was profound. Hiring decisions were made on the quality of the performance only. In just a few short years, the ‘white male’ orchestra was transformed to more equal gender representation with musicians further diversified by their cultural backgrounds.
Not only has the Toronto Symphony Orchestra continued to use blind screening ever since, but it was also quickly adopted by most major orchestras around the world.
Beyond the concert stage, blind screening and blind recruitment practices are used by government, academic and business organisations globally. Because when it comes to identifying the best qualified or best-fit candidates, all you need to hear is their ‘music’.
It’s hard to admit our biases play a role in our decisions. That’s why Blind Hiring works.
Are tall people more likely to get higher paid roles? Do the best looking candidates always get the job? Will Michael or Mohamed be the best fit for your team?
While it’s easy to recognise bias in other people, it’s usually harder to admit that we are biased ourselves. That’s why it’s called unconscious bias. It’s something we all have and something we can all be affected by.
Unconscious bias is about making assumptions, stereotyping or a fear of the unknown in how we assess other people. It can be innate or it can be learned and it’s created and reinforced through our personal experiences, our cultural background and environment.
Think of gender bias, ageism, racism or name bias – these are some common biases that need no explanation. However, psychologists and researchers have identified over 150 types of bias that impact the way we form opinions and make judgements about people, often instantly.
The science is in. People are biased. And, again, that’s why Blind Hiring works.
In a two year study titled Whitened Résumés: Race and Self-Presentation in the Labor Market published in the Administrative Science Quarterly in 2016, academics from the University of Toronto and Stanford University looked at racial and gender bias during resume screening.
In one US study, they created and sent out resumes for black and Asian candidates for 1,600 advertised entry-level jobs. While some of the resumes included information such as names, colleges, towns and cities that clearly pointed out the applicants’ race or status, others were ‘whitened’, or scrubbed of racial clues.
Amongst many insights, they found that white-sounding names were 75% more likely to get an interview request than identical resumes with Asian names and 50% more likely than black-sounding names. Males were 40% more likely to get an interview request than women.
Still need convincing?
Another 2016 study by The Institute for the Study of Labor (IZA) in Bonn, Germany examined how ethnicity and religion influenced a candidate’s chances of landing an interview. 1500 real employers received otherwise identical applications, complete with a photo, from Sandra Bauer, Meryem Ӧztürk, or Meryem Ӧztürk wearing a headscarf.
- German-sounding Sandra received interview invitations 19% of the time.
- The identical application from Meryem recieved a call back 14% of the time while Meryem with a headscarf got called just 4% of the time.
These are just two of many research studies that suggest bias and discrimination are rife in the hiring process. In a 2017 UK study, only a third of hiring managers felt confident they were not biased or prejudiced when hiring new staff, while nearly half of those surveyed admitted that bias did affect their hiring choice. 20% couldn’t be sure.
Tackling bias in hiring & recruitment
When it comes to hiring, we all have our own thoughts about what an ideal candidate is supposed to look like. The problem is that our own bias can get in the way of the right decision.
If you’ve already pre-determined a candidate’s suitability by their age, gender or the school they attended, then you could be missing out on employing the candidate with the best qualifications. Or while you’re thinking about the best ‘cultural fit’ for your team, you’re actually missing the opportunity for the best ‘cultural add’.
But what if you could take bias out of candidate screening and hiring process? Is that even possible?
A closer look at blind hiring
Just as the Toronto Symphony Orchestra hid the identities of auditioning musicians behind a screen, there are several ways to bring blind hiring to your recruitment process:
Blind Screening
Nearly all hiring decisions will involve a human to human interview. But take a step back in the process and blind screenings can ensure that all candidates are competing on a level playing field. With the opportunity to be assessed only on qualifications or skills, the best candidates for a role can be identified.
Blind screening is about making candidates anonymous – removing details from applications or CVs that reveal details that may colour the recruiter or hirer’s assessment. It makes it easier to make objective decisions about a candidate based on skills, experience and suitability without the distraction (and the damage!) of bias.
Unconscious bias can be triggered by someone’s name, their gender, race or age, the town they grew up in or the schools they attended.
Blind Assessments
Before making a final decision, many employers like to test a candidate’s skills or knowledge by setting a task or challenge. Others undertake personality or other testing to assess a range of relevant qualities such as aptitude, teamwork, communication skills or critical thinking. Candidates can be assigned an identifying number or code to retain their anonymity through blind testing, though this is often best done through a third-party service provider.
Blind Interviewing
With face-to-face, phone or video interviews, it’s clearly impossible to keep candidates anonymous. Blind interviewing is possible, however, using a written QandA format or by using next-generation chatbots or text-driven interview software. Most recruiters and employers would agree, however, that there would be few if any, times it would be appropriate to make hiring decisions based solely on blind interviewing and without an in-person interview.
Read: The Ultimate Guide to Interview Automation
Blind interviewing, testing and screening in one – how Sapia has changed the game
Sapia is a leading innovator and advocate in using technology to enhance the recruitment process. Our AI-enabled, text chat interview platform has been designed to deliver the ultimate in blind testing at the most important stage of the recruitment process: candidate screening.
The ultimate in blind screening
Firstly, you will never have to read another CV again. Especially in bulk recruiting assignments, Sapia can help recruiters find the best candidates faster and more cost-effectively. CV’s are littered with bias-inducing aggravators. With Sapia, blind interviews are at the top of the recruiting funnel, not CV reviews.
By removing bias from the screening process, we’re helping employers to increase workplace diversity. It also delivers an outstanding candidate experience.
Reviewing and screening CVs is the most time-consuming part of any recruiter’s job and Sapia can put more hours back in your day.
Removing bias elements from the equation
Sapia evaluates candidates with a simple open, transparent interview via a text conversation. Candidates know mobile text and trust text.
Our platform removes all the elements that can bring unconscious bias into play – no CVs, video hook-ups, voice data or visual content. Nor do we extract data from social channels.
What candidates do discover is a non-threatening text interview that respects and recognises them for the individual they are, providing them with the space and time to tell their story in their words.
Algorithms see what humans can’t
As candidates complete and submit their interview, the platform uses artificial intelligence and machine learning to test, assess and rank candidates on values, traits, personality, communications skills and more. By bringing this blind interview into the upfront screening, recruiters can gain valuable personality insights and the confidence of a shortlist with the very best matched candidates to proceed to live interviews.
The platform has a 99% satisfaction rate from candidates and they report they are motivated by the personalised feedback, insights and coaching tips that the platform provides, along with the opportunity to provide their feedback on the process.
Blind hiring is better for business
Free from biases of the candidate’s race, gender, age or education level, Sapia’s platform delivers blind interviewing, testing and screening in one. Helping to build workplace diversity brings benefits for everyone – it can help lift employee satisfaction, boost engagement and productivity and enhance the reputation of your business as a great employer.
We believe there is a formula for trust when it comes to interviewing …
- Blind screening
- Using inclusive and engaging technology
- Apply a consistent assessment rubric
- Explainable and relatable process
- Relying only on data consensually given by the candidate
Final human decision supported by objective data. Or more simply:
Trust = (Inclusivity + Transparency + Explainability + Consistency) – Bias
Find out more about our AI-powered blind recruitment tool and how we can support your hiring needs today. You can try out Sapia’s Chat Interview right now – here. Else you can leave us your details to receive a personalised demo
Have you seen the New Inclusive e-Book?
It offers a pathway to fairer hiring. Get diversity and inclusion right whilst hiring on time and on budget.
In this Inclusivity e-Book, you’ll learn:
- How to design an inclusive recruitment path. From discovery to offer and validation of the process.
- The hidden inclusion challenges that are holding your organisation back.
- How to tell if Ai technology is ethical.
Related
Blog
Keeping Interviews Real with Next-Gen AI Detection
It’s our firm belief that AI should empower, not overshadow, human potential. While AI tools like ChatGPT are brilliant at assisting us with day-to-day tasks and improving our work efficiency, employers are increasingly concerned that they’re holding candidates back from revealing their true, authentic selves in online interviews.
As an assessment technology provider, we are responsible for ensuring the authenticity and integrity of our platform. That’s why we’re thrilled to unveil the latest upgrade to our flagship Chat Interview: the AI-Generated Content Detector 2.0. With groundbreaking accuracy and a candidate-friendly design, this innovation reinforces our mission to build ethical AI for hiring that people love.
Artificially Generated Content (AGC) is content created by an AI tool, such as ChatGPT, Claude, or Pi. We initially rolled out the first version of our AGC detector last year and have continued to improve it as our data set has grown and these AI tools have evolved.
What’s New?
Our updated AGC Detector 2.0 achieves an impressive 98% detection rate for AI-assisted responses, with a false positive rate of just 1%. This gives organisations peace of mind that they’re getting the most authentic assessment of every candidate.
This cutting-edge system builds on Sapia.ai’s proprietary dataset of over 2 billion words, derived from more than 20 million interview question-answer pairs spanning diverse roles, industries, and regions. It’s trained on real-world data collected before and after the release of tools like ChatGPT, ensuring it remains robust and reliable even as AI tools evolve.
The Challenge of AI in Chat-based Interviews
Our data shows that around 8% of candidates use tools like GPT-4 to generate responses for three or more interview questions. While these tools may offer a quick way for candidates to complete their interview, they can inadvertently hide a person’s true personality and potential – qualities our customers are most interested in understanding through our platform. In fact, research from Sapia Labs shows that these tools have their own personality traits, which may be quite different from the candidate applying for the role.
For Candidates: Enabling Authenticity
When a response is flagged as potentially AI-generated, the system doesn’t disqualify candidates. Instead, a real-time warning pops up, allowing them to revise their answers or submit them as-is. This ensures that candidates are encouraged to present themselves authentically, reflecting their unique communication styles and sharing their genuine experiences.
For Hiring Teams: Actionable Insights
Responses flagged as AI-generated are highlighted in the candidate’s Talent Insights profile, accessible via Sapia.ai’s Talent Hub or ATS integrations. These insights give hiring teams the transparency to make informed decisions, fostering trust while accelerating hiring timelines.
Built on Unmatched AI Interview Expertise
“Our detection model’s strength lies in its foundation of real-world interview data collected from diverse roles and regions,” says Dr Buddhi Jayatilleke, Sapia.ai’s Chief Data Scientist. This depth of understanding enables the AGC Detector to maintain its industry-leading accuracy – even when candidates subtly modify AI-generated answers to appear more human.
Why This Matters
The AGC Detector 2.0 embodies Sapia.ai’s commitment to ethical AI that amplifies human potential. As our CEO Barb Hyman explains:
“The hiring landscape has fundamentally changed since ChatGPT, but our commitment remains clear: AI should amplify human potential, not penalise it. This breakthrough fosters authentic hiring conversations. Our real-time warning system helps candidates make better choices and gives enterprises confidence in their selection decisions.”
Testing and Validation of the AGC Detector 2.0
The new detector has been rigorously tested on over 25,000 interview responses generated by humans and leading AI models like GPT-4, Claude-3.5, and Llama-3. The results speak for themselves, reinforcing the reliability and fairness of this game-changing technology.
Fairness & Transparency in AI-Enabled Hiring
By detecting AI-generated content while allowing candidates to correct their responses, our AGC Detector 2.0 ensures every applicant has the chance to put their best, most authentic foot forward when applying for a role powered by Sapia.ai. For enterprises, it provides confidence in the integrity of their hiring decisions and ensures they’re connecting with real candidates at scale.
Blog
ICO Recommendations for AI Tools in Recruitment
At Sapia.ai, we’re dedicated to creating a hiring experience that is transparent, inclusive, and respectful of every candidate’s privacy. This month, the UK Information Commissioner’s Office (ICO)—the UK’s independent authority on upholding information rights and promoting data privacy— released new recommendations for AI developers and providers of recruitment tools, focused on protecting jobseekers’ rights and privacy. We’re proud to have contributed to the ICO’s audit and review of industry practices and to have implemented all recommendations specific to our platform.
The ICO conducted consensual audits with several organisations across various AI use cases. Throughout the process, the ICO was keen to understand how Sapia.ai and other providers process personal data, aiming to provide practical guidance for improving data protection and addressing information rights challenges in recruitment AI.
In total, these audits led to nearly 300 recommendations aimed at improving compliance across the industry. The recommendations included a range of practices to ensure fairness and transparency in processing candidates’ data. Key areas of focus included processing personal information fairly, minimising data collection, clearly explaining data processing activities, avoiding unlawful data repurposing, and conducting thorough risk assessments to evaluate privacy impacts — principles that align closely with our core values.
Since these recommendations spanned various AI applications, Sapia.ai received a small subset relevant specifically to our platform, and we’re proud to have fully integrated the ICO’s feedback into our approach.
Our Commitment to Continuous Improvement
As part of our engagement with the ICO, we reviewed and refined our practices. For instance, in late 2023, we ended the practice of inferring special category data from candidate names when this information wasn’t directly provided. This adjustment underscores our dedication to handling personal data transparently and responsibly.
The ICO’s audit also highlighted several existing practices at Sapia.ai that support our commitment to transparency, fairness, and data security. Our FAIR™ Framework received special recognition for promoting fairness in AI recruitment by offering clear guidance on reducing bias and fostering trust in AI-driven hiring. This framework is central to our efforts to create an equitable and transparent hiring experience—one where every candidate feels valued and seen.
Upholding Robust Security Standards
Beyond privacy, security is fundamental to our operations. The ICO acknowledged our strong commitment to information security, highlighting our programme of annual external assessments for compliance with ISO27001, ISO27017/18, and SOC2 Type 2 certifications. These certifications reflect our rigorous standards for data security, ensuring that our systems and processes protect personal data effectively. By undergoing these assessments, we assure our clients that our security practices are not only robust but also regularly reviewed to meet evolving standards in data protection.
Supporting Clients with Training and Resources
We believe that compliance and fairness extend beyond our technology to include the way clients understand and use our platform. That’s why, as part of our onboarding process, we provide comprehensive system training for new clients. This includes guidance on interpreting assessments and navigating the management information dashboard, helping clients use our system as it was designed. We also support clients in completing their own Data Protection Impact Assessments (DPIAs), empowering them to evaluate and address privacy risks in line with best practices.
Further, we provide accessible reference guides, or product ‘explainers’. These resources clarify the mechanics of our system and the security measures we have in place to protect personal data, enhancing client confidence and trust in our technology.
Building a Fairer Hiring Experience
We’re grateful for the opportunity to collaborate with the ICO and are inspired by their recognition of AI’s potential to make a positive impact on society. At Sapia.ai, we’ll continue to prioritise fairness, security, and privacy, working to create a hiring experience where every candidate feels valued and understood.
Our commitment to continuous improvement means we actively monitor changes in the privacy landscape and adapt to new developments. As AI legislation evolves and privacy standards are refined, we strive to proactively implement any required changes—ensuring our technology not meets and anticipates future standards.
Blog
The 5 Interview Questions Candidates Love Most – And Why You Should Be Asking Them
When interviewing, asking the right questions can open the door to genuine insights and a better interview experience. So, which questions truly resonate with candidates? Our latest research, led by the Data Scientists at Sapia Labs, reveals the top five questions that candidates appreciate the most from our Chat Interview experience, that over 5 million candidates from 47 countries have completed.
Why is asking the right questions important?
The Live Interview is crucial to volume hiring. Having the opportunity to meet for the first time, to extend the connection already created online – it’s almost like the first date of the volume hiring experience. Showing up unprepared or asking questions that candidates can’t engage with is a waste of everyone’s time.
Asking questions candidates actually enjoy
Interviews can go sideways – either candidates feel like they’ve been part of a scripted exercise, where standard questions that don’t engender creativity or imagination are rolled out one by one; or, if the interviewer is underprepared, questions can appear out of the blue and feel largely irrelevant to the role.
But certain questions break the mould—they encourage authenticity, spark reflection, and sometimes even pride. Rather than prompting canned responses, these questions invite candidates to share real experiences that shaped them. After analysing feedback from thousands of candidates, here are the five most-loved interview questions and why they matter.
- Making a Difference
“Tell us about a time you went out of your way to make a difference for someone and improved their day.”
Why candidates love it: It’s a chance to talk about something positive they’ve done. People enjoy reflecting on moments that mattered, whether big or small, and this question lets them share proud memories. For the hiring team, it reveals a candidate’s potential to bring kindness, positivity, and empathy to your team and customers.
- Handling Difficult People
“Have you ever dealt with someone difficult? How did you handle the situation? Feel free to share examples from work, school, or any group activity.”
Why candidates love it: We’ve all had tough encounters, and this question lets candidates share how they navigated those situations. Their response can reveal resilience, tact, or empathy. Plus, every workplace has its challenges—this question lets them show their approach to handling them.
- Driving Change
“Tell us how you have been proactive in driving change that had a lasting impact.”
Why candidates love it: Everyone has had moments when they took initiative, big or small. This question gives candidates a chance to reflect on those times when they went beyond the status quo and made a real difference. It also reveals whether they see themselves as someone who can step up to make things better.
- Missing Deadlines
“Describe a time when you missed a deadline or personal commitment. How did that make you feel?”
Why candidates love it: This question is refreshingly human. We’ve all missed deadlines, and this question creates space for honesty, vulnerability, and growth – without the awkwardness of the classic “what are your weaknesses?” angle. It’s less about the setback itself and more about how a candidate understands, reflects and moves forward from it.
- Team Support
“Tell us about a time when you rolled up your sleeves to help out your team or someone else.”
Why candidates love it: This question highlights the power of teamwork. Candidates get to share the moments they stepped up and supported others. It shows both teamwork and leadership potential, indicating if this candidate is someone who’ll contribute something bigger than their individual tasks.
Why these questions are impactful
These interview questions tap into values that are universally meaningful. Candidates don’t just want to list their skills; they want to share stories that matter to them. When you ask questions like these, you’re inviting candidates to reflect on personal moments of challenge, motivation, and connection. They get to walk away feeling heard and appreciated – before they’ve even received a job offer.
Interviews, whether face to face or via chat, should be a positive experience for candidates. They’re a chance to connect with the person behind the application. That’s why we built our online assessment Chat Interview on a foundation of questions like these. So the first experience a candidate has with your brand is one of genuine connection.
Why you should consider questions like these in your interviews
Incorporating these questions shows candidates that you value their unique experiences. By making small adjustments to the questions you ask, you create a space where candidats can open up and share more meaningful responses. And that’s the first step in finding candidates who genuinely fit with your team and culture. Shifting to questions that candidates love can elevate your interview process, leaving candidates feeling inspired and excited about the prospect of working with you.
Transforming Interviews, One Question at a Time
This research underscores a core belief we hold: Interviews are an experience, not just an assessment. A good interview reveals job-related skills while also building trust and creating advocates for your brand.
At Sapia.ai, we know interviewing. Whether that’s giving your candidates an engaging interview over chat as their first experience with your brand; or enabling your team to conduct better live interviews, our platform enhances the end to end volume hiring process.
We’re proud to champion a new way of interviewing that prioritises candidate experience and genuine connection. After all, when candidates feel good about the questions you ask, they’re more likely to bring their best selves – helping you find the people that belong with your brand..
Curious to learn more? Get in touch to see how we’re reshaping hiring into a more human, meaningful experience – one great question at a time.