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In an ideal world, the hiring process is discrimination-free and those who are hired stick with whatever company hires them for a long time.

Sadly, neither notion holds particularly true. Discrimination is still very much alive. And new employees continue to leave their companies at an alarming rate. A hiring firm seeks to eliminate both issues — through AI-based tech. 

From the outside looking in, Sapia’s promises nearly sound too good to be true. Founded in Melbourne Australia in 2013, they describe themselves as a combined effort of data scientists, engineers, HR professionals, programmers — and rock climbers. They have based their business around the idea of empowerment of all parties — all for the greater good of fair decisions. “We believe that using data, and ideally actual performance data, is the best way to deliver fairness and better decision-making”, they say.

“Smart Interviewer is the only conversational interview platform with 99% candidate satisfaction feedback.”

Their ideas come together in their newest invention: a chatbot called Smart. Rather than you spending countless of hours on initial candidate interviews, Smart Interviewer will do the top-of-funnel interviews for you. According to Smart Interviewer’s parents, it is the only conversational interview platform with 99% candidate satisfaction feedback. Moreover, the company reports a 95% completion rate. 

Unconscious bias

It’s no surprise that humans are prone to unconscious bias, and that’s what the company wants to tackle with Smart Interviewer. “When a recruiter first screens a resume, they do so for +/- 6 seconds. So what is it that they are seeking?”, they ask. Their answer to the unconscious bias is simple: data. “Only clean data, like the answers to specific job-related questions, can give us a true bias-free outcome.”

Job hopping

While Sapia has been shortlisted for several tech and AI-based awards, there have been some critical notes too. MIT Technology Review writer Karen Hao labelled the hiring firm’s initiatives as ‘misleading’, ‘troubling’ and ‘causing greater scrutiny for their tools’ labour issues beyond discrimination’.

“Job hopping, or the threat of job hopping is one of the main things that workers are able to increase their income.”

Hao quotes Solon Barocas, an assistant professor at Cornell University and principal researcher at Microsoft Research. Barocas, an expert at algorithmic fairness and accountability, does raise a valid point in Hao’s article. The fact that Smart Interviewer asks job hopping-related questions, isn’t a good thing for candidates. “Job hopping or the threat of job-hopping is one of the main things that workers are able to increase their income.” 

AI bias

While AI-based systems are designed to eliminate bias, there have been multiple cases where bias can actually creep into algorithms. Amazon stopped using a hiring algorithm after finding out it favoured applicants based on words such as ‘executed’ and ‘captured’, which were far more common in men’s resumes. It proves that even though when gender, race or sexual orientation are no longer part of the process, there are still ways for AI systems to discriminate.

The answer may lie in mandated transparency, according to Barocas. “If firms were more forthcoming about their practices and submitted their tools for such validation, it could help hold them accountable”, he says. 

At the end of the day, and we’ve got ourselves to thank for this: AI bias may be an easier fix than human bias.

Meanwhile, it’s easy to forget why Sapia came up with Smart Interviewer in the first place. The same way it is easy to be overly critical of organisations who are trying their best to really bridge a gap when it comes to discrimination in the forms of a lack of diversity and inclusion with regards to hiring. At the end of the day, and we’ve got ourselves to thank for this: AI bias may be an easier fix than human bias. 

By Jasper Spanjaart, ToTalent, 29/07/2020

To get the Research Paper:

Assessing Job-Hopping Attitudes From Chat Interview

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Here’s a hot take: The science of Emotional Intelligence (EQ) is dubious, confusing, and anything but settled. When it comes to talent identification, that can be a problem.

First, what is Emotional Intelligence (EQ)?

We tend to measure EQ in the same way we do IQ: Using a test with a series of questions. But emotion and cognitive ability are totally different, and as sciencealert.com points out, ‘It’s much more difficult to measure EI scores as often emotion-based questions do not have one correct answer.’ Add to this the fact that many EQ tests rely on self-reported data, and you can see how IQ and EQ are not simply two equal sides of the coin that make up a person.

That’s not to say that Emotional Intelligence doesn’t exist, just that it’s a roundabout way of measuring personality traits and behaviours that other mechanisms, such as the HEXACO personality inventory, do more reliably and effectively. EQ also carries the issue of ranking certain traits as more desirable or ‘better’ than others – for example, extraversion, agreeableness, and openness.

The trap of over-weighting agreeableness

When we say someone has good or high EQ, what we tend to mean is that they’re friendly, kind, self-aware, and generally speaking, extraverted. They can adjust their tone and approach depending on who they’re talking to. They’re not known to be rude, or brash, or talk too much.

That’s an estimation of someone with good EQ, and this is the problem: It’s an empirical judgment. And while we think we’re describing someone who is emotionally intelligent, we’re really describing someone who is high in agreeableness, emotionality, openness, and other more valid measures of personality. Sounds like a great person, sure, but not necessarily a better type of person for every situation.

Consider this: Many studies have shown that disagreeable people tend to perform better over their career than people who are polite, kind, and friendly. A great proportion of CEOs, be they women or men, are high in disagreeableness. It’s easy to see why: though there are many downsides to disagreeableness, it pays, in many situations, to possess the ability to be combative, straightforward, and brutally honest. To think of disagreeableness as inherently worse than agreeableness is misguided and, at worst, discriminatory.

And even if that is not true, and all of the varied and ever-changing definitions of Emotional Intelligence lead to better job performance, how do we even measure it accurately?

How do you accurately measure Emotional Intelligence (EQ)?

In the context of hiring, EQ is often used as a gut-feel heuristic we apply to people with whom we gel. Even in structured face-to-face interviews, it can be very difficult to assign as score to the different measures of EQ. 

Imagine someone is sitting across from you in an interview. By sight, they appear to be an average person in every way. So, by your questions and their responses, how do you measure their:

• Self-awareness. What are the repeatable, verifiable signals of someone who is aware of themselves? Is it their propensity to correct statements mid-sentence? Is it the way they ask you where to sit before committing to a position? Is it the way they maintain eye-contact? How much or little eye-contact do you need to be satisfied of above-average self-awareness?
• Adaptability, teamwork, or ability to influence. Sure, you might ask them about a time where they had to apply abstract thinking to resolve a stressful situation, but how do you rate their answer objectively? Experience may tell you that they have been adaptable, and that’s all well and good, but how do you rank that against someone who is, personality-wise, highly geared for adaptability, but has not had the opportunity to prove it? In other words, how do you assess potential fairly, from candidate to candidate?

The alternative to measuring EQ badly

Again, aside from face-value judgments of agreeableness and social tact, it’s near-on impossible to assess EQ in any fair or meaningful way. That’s not even accounting for the many biases we, as humans, bring to the hiring process. You might, with some accuracy, be able to appraise a person’s EQ once it’s been proven, but that’s not useful at all in recruitment. In hiring, you’re hedging against unknowns, hoping for the best.

That’s what makes accurate personality assessment so critical – and why we built our Ai Smart Interviewer. It finds you the people you need based on an accurate, HEXACO-based assessment of their personality. One interview, via chat, is all it takes.

We look at the critical power skills – communication, emotionality, empathy, openness, and so on – and profile all candidates fairly against one another. So you’re ranking suitability on objective and repeatable measures. No guesswork involved. No bias.

You bet it works. 94% of the 2+ million candidates we’ve interviewed found their personality insights accurate and valuable. On average, 80% of the candidates who experience our interview process recommend you as an employer of choice, even if they don’t get the job.

Someone with an ostensibly high EQ is, in most cases, someone you might want. But appearances can be deceiving, and humans, by nature, are not good at objectively assessing personality. We’re just not, period.

Get the help you need, and you’ll quickly hire the people you want.

What every business needs to know about unconscious bias in hiring

Is unconscious bias holding your business back? When it comes to building your team, it’s easy to fall into a pattern of choosing a candidate who seems like a good ‘cultural fit’.

But what if that means you’re missing out on a candidate who would be a great ‘cultural add’? Or the candidate that’s actually the perfect fit for the role and the team.  When you make an effort to overcome bias and cultivate a workplace that values diversity – of background, experience, world view and so many more attributes – you’ll cultivate a workplace that’s not just great for your team, it’s great for your business too.

Hiring on a gut feeling that someone will be a good fit for the team is just one indication that your decision has probably been influenced by unconscious bias. Don’t be alarmed, it’s more common than you think. In fact, we all have unconscious bias and we are all affected by it.

Bias can be easy to see in other people.

You might observe it in the way someone treats or talks about others, or perhaps you’ve been at the uncomfortable end of bias yourself.  When it comes to recognising our own ‘built-in’ biases, however, it can be challenging. And that’s why they call it unconscious.

Unconscious bias training has become not just a buzzword but a big business in itself. In this article, we explore the big questions around bias: What is unconscious bias? How does it impact the hiring process? Can unconscious bias be defeated? If you’ve already jumped to your own conclusions on those questions, that’s unconscious bias too!

We need to talk about bias

Since the first humans gathered around campfires, bias has existed.

It is simply the way we feel in favour of something – an idea, a thing, a person or group – or how we feel against that something.  Bias usually suggests that these feelings are judgemental, unfair or discriminatory.

Bias is about making assumptions, stereotyping or a fear of the unknown.  It can be innate or it can be learned and unconscious bias is created and reinforced by our personal experiences, our cultural background and environment.  Bias can be of little consequence – I hate broccoli – or potentially very damaging – I hate {insert name here!}.

Why does unconscious bias matter in the hiring process?

The objective of overcoming bias in the workplace is creating a work environment where every employee can feel that the workplace is welcoming, safe and free from discrimination, harassment or unfair treatment. While that may sound ‘warm and fuzzy’, diverse and inclusive workplaces can help lift employee satisfaction, boost engagement and productivity and enhance the reputation of your business as a great employer. It can also lower your exposure to potential legal action from unfair or unjust employment practices.

The most common types of unconscious bias in the workplace

When it comes to hiring, there are some biases that are more common than others. Some need no explanation – gender bias, ageism, racism, name bias – however psychologists and researchers have identified over 150 types of bias that impact the way we engage and interact with others. Here, we look at just a few. Chances are you’ve let one or more of these biases influence your decisions and, as a result, missed out on a perfect candidate.

Confirmation bias – where an opinion is formed quickly on a single detail (bad suit, good school) and the interviewer ‘fills in’ their own assessment of the candidate with questions that they believe confirm or justify their initial impression or judgement.

Overconfidence bias  –  can be closely connected to confirmation bias, when the recruiter lets their confidence in their own ability choose the best candidate in the way of objective assessment.

Illusory correlation – where a recruiter believes certain questions are revealing insights about the candidate that actually don’t exist or are not relevant to their ability to perform in a role.

Beauty Bias –  this one speaks for itself. Will a great looking person necessarily be the most successful choice for the role? The simple answer? No.

Conformity bias – this bias can occur with group assessments when recruiters fall in with the majority even if their opinion about a candidate differs. Peer pressure can have a lot to answer for.

Contrast effect  – also called judgement bias, this is where a candidate is compared with the resume and candidate that went before, rather than being reviewed on their own skills and merit against the requirements of the role.

How are you scoring in bias roulette?!

Here’s some more:

Affect heuristics – this unconscious bias sounds very scientific, but it’s one that’s being a very human survival mechanism throughout history. It’s simply about making snap judgements on someone’s ability to do a job based on superficial and irrelevant factors and your own preconceptions  – someone’s appearance, tattoos, the colour of their lipstick.

Similarity attraction – where hirers can fall into the trap of essentially hiring themselves; candidates with whom they share similar traits, interests or backgrounds. They may be fun to hang out with, but maybe not the best match for the job or building diversity.

Affinity bias – so you went to the same school, followed the same football team and maybe know the same people. That’s nice, but is it really of any relevance to the hiring decision?

Expectation anchor – where the hirer is stuck on what’s possibly an unrealistic preconception of what and who the candidate should be

Halo effect –  Your candidate is great at one thing, so that means they’re great at everything else, right? Judging candidates on one achievement or life experience doesn’t make up for a proper assessment of their qualifications and credentials

Horn effect – It’s the devil’s work. The opposite of the halo effect where one negative answer or trait darkens the hirer’s judgement and clouds the assessment process.

Intuition – going with that gut feeling again? While the emotional and intellectual connection may come into the process, it’s largely irrelevant. Focus on their actual experience and capabilities instead.

Can unconscious bias be eliminated? Can bias be unlearned?

In an ideal world, every hire would be approached in an objective way, free of unconscious basis and based on the candidate’s ability to do the job well. However, we don’t live in that perfect world and, time and time again, bias can cloud our judgement and lead to the wrong recruitment decisions. So what can we do? Let’s first talk about what doesn’t work.

Why unconscious bias training does not work

The efforts of any business to drive affirmative change in their business are to be respected. However, there’s a very good reason why unconscious bias training simply can’t work. Why?

Because unconscious bias is a universal and inherently human condition. Training targets individuals and their well-worn attitudes and world views.

While awareness and attitudes may change, inherent bias will remain because that’s the human condition.

So if humans can’t solve a very human problem, what can? Sapia is challenging the issue of unconscious bias in hiring by promoting ‘top-of-funnel’ screening that entirely avoids humans and their bias. Instead, candidates are interviewed and assessed through automation and algorithms.  The data that trains the machine is continuously tested so that if ever the slightest bias is found, it can be corrected.

According to an Article Published By Fast Company:
(Ref. https://www.fastcompany.com/90515678/science-explains-why-unconscious-bias-training-wont-reduce-workplace-racism-heres-what-will)

From a scientific perspective, there are reasons to be cautious that unconscious bias training will have a significant impact on racism, sexism, and other forms of workplace discrimination.

1. MOST BIASES ARE CONSCIOUS RATHER THAN UNCONSCIOUS

Contrary to what unconscious bias training programs would suggest, people are largely aware of their biases, attitudes, and beliefs, particularly when they concern stereotypes and prejudices. Such biases are an integral part of their self and social identity.

2. THERE IS ONLY A WEAK RELATIONSHIP BETWEEN ATTITUDES AND BEHAVIORS

Contrary to popular belief, our beliefs and attitudes are not strongly related to our behaviours. There is rarely more than 16% overlap (correlation of r = 0.4) between attitudes and behavior, and even lower for engagement and performance, or prejudice and discrimination.

3. THERE IS NO ACCURATE WAY TO MEASURE UNCONSCIOUS BIAS

The closest science has come to measuring unconscious biases is via so-called Implicit Association Tests (IAT), like Harvard’s racism or sexism test. (Over 30 million people have taken it, and you can try it for free here. These have come under significant academic criticism for being weak predictors of actual behaviours. For example, on race questions (black vs. white), the reported meta-analytic correlations range from 0.15 to 0.24.

4. IT’S HARD TO CHANGE PEOPLE’S BELIEFS, ESPECIALLY WHEN THEY DON’T WANT TO

The hardest thing to influence through any D&I initiative is how people feel about concepts such as gender or race. Systematic reviews of diversity training concluded: “The positive effects of diversity training rarely last beyond a day or two, and a number of studies suggest that it can activate bias or spark a backlash.”

Algorithms do the job humans can’t

Using machines and artificial intelligence to augment and challenge decisions is fast becoming mainstream across many applications and industries. To reduce the impact of unconscious bias in hiring decisions, testing for bias and removing it using algorithms is possible. With humans, it’s not.

Sappia tackles bias by screening and evaluating candidates with a simple open, transparent interview via a text conversation.  Candidates know text and trust text.

Unlike other Ai Hiring Tools, Sapia has no video hookups and no visual content. No CVs.

All of these factors carry the risk that unconscious bias can come into play. Nor is data extracted from social channels as our solution is designed to provide every candidate with a great experience that respects and recognises them as the individual they are.

A better experience for candidates, recruiters and clients alike

A research study by The Ladders found that recruiters only spend about 6 seconds looking at a resume. With bulk-hiring, it’s probably less. That’s 6 seconds to make or break a candidate’s hope.

Sapia’s AI-based screening comes into to its own with high volume briefs, with the capability to conduct unlimited interviews in a single hour/day, assessing >85 factors – from personality traits to language fluency and other valuable talent insights. Candidates receive personalised feedback, coaching tips for their next interview and faster decisions on their progress in the hiring process.

Sapia is not out to replace human recruiters but we are here to work as your co-pilot, helping you to make smarter, faster and unbiased hiring decisions.

Understand where unconscious bias has held your business back

AI-enabled enabled interviewing and assessment also tracks and measures bias at a micro level so businesses can understand the level and type of bias that may previously have influenced decisions. With candidate and client satisfaction rated 95%+, it’s a game-changer for changing behaviours.

Hiring’s a team sport and we’re rewriting the rules

The ability to measure unconscious bias is just one more reason to use AI-based screening tools over traditional processes.

Everyone has a story that’s bigger than their CV.

Sapia gives every candidate an opportunity to tell theirs. Through our engaging, non-threatening process where unconscious bias can be taken out of the equation (literally!), we will help you get to the best candidates sooner.

You’ll get a shortlist of candidates with the right traits and values for your business so you can move ahead to interviews with confidence and clarity. With time and resources saved on upfront screening, your team can concentrate on making the interviewing stage more rewarding for hirers and candidates alike.

With Sapia, you can soon be on your way to building more diverse, inclusive and happier workplaces. We know we can work for your business, so we’d love to work with your business. Let’s talk.

Have you seen the Inclusive e-Book? It offers a pathway to fairer hiring in 2021.

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.

Download Inclusivity Hiring e-Book Here >