The AI will see you now… why we should trust Computer Vision

On the whole, humans are generally good at identifying emotions, but this mostly happens at an unconscious level and it isn’t always a reliable tool, particularly when it may involve having to make decisions based on this interpretation. According to psychology professor, Lisa Feldman Barrett our emotions are the brain’s method of understanding the body’s raw data. But sometimes the same sensations can be interpreted differently depending on external events. For example, a queasy stomach could be interpreted as nervousness before a job interview or excitement for an upcoming holiday.

We are reactive to the world around us. For example, if a HR professional has a disagreement with a colleague or is experiencing personal issues outside the workplace, they may bring these negative emotions into interviewing a candidate for a job. This may affect our perception of a candidate and the hiring decision.

Although we can’t change these factors, we can prevent them from influencing the recruitment process to ensure it is fair, consistent and transparent. As we enter the fourth industrial revolution and are increasingly driven by new technology, AI and Computer Vision will be on hand to assist humans in making data-led decisions that are consistently accurate and free of bias; attributes which will become increasingly important in a fast moving and compliant world.

What is Computer Vision?

Computer Vision acts as the eyes of an AI. This technology can visually process the world around them and they can be programmed to analyse the information it collects. For example, Computer Vision is used as part of our video analysis tool. The technology analyses each candidate’s facial expressions and micro-expressions from their video interview. Micro-expressions are facial movements that happen – even before we are consciously aware of making them. This means Computer Vision is able to detect a candidate’s true emotion at that moment, not what they may like to present to an interview panel.

This tool can be used to recruit across all industries. However, it is especially useful in customer focused or sales roles where ‘reading people’ or presenting yourself positively or empathetically is required. Computer Vision can observe how easy a person is to talk to, and how approachable they will be to customers – even under pressure.

Why should we trust machines to assess human behaviour?

Together, AI and Computer Vision are able to accurately repeat the same process over and over again. Our video analysis tool has analysed over 1.4 billion facial expressions with a 97% accuracy rate. This is an invaluable tool for humans and can be used to gain advantage particularly in dealing with scale or distance. Computer Vision doesn’t experience a post-lunchtime dip,  which is when a person feels drowsy for a few hours whilst their body digests their food.  Equally the AI doesn’t have a ‘bad day’ through fatigue which would impair their overall cognitive performance. It can process thousands of job applications and identify the top candidates, regardless of what time of day it is. This enables a recruiter to stay focused on putting their attention and expertise on the applicants that have relevant skills and abilities for the role.

As AI and Computer Vision aren’t human, they have the capacity to be completely objective (read our blog on unconscious bias in humans here). Our Chief Scientific Officer, Dr Boris Altemeyer, revealed to Information Age that “AI doesn’t have to understand its own unconscious bias, because it has none. AI does not need diversity and inclusion training. It’s incapable of taking an instant dislike to someone, secretly wondering whether someone’s planning on starting a family, or hiring someone who’s pleasingly similar to them.” As there isn’t any human involvement in the analysis process it supports a less bias hiring decision. Our Computer Vision isn’t programmed to see race, age or gender – it is purely assessing what an applicant is non-verbally communicating. This becomes a vital tool when companies are pursuing policies of inclusion, diversity and fairness.

Making fast and accurate hiring decisions for every candidate – every time

Our clients using our video analysis tool will be able to give each applicant a fair chance, regardless of how large their applicant pool is.

Each candidate records themselves answering a number of key questions that have been set by the company. Computer Vision analyses each video interview frame by frame, searching for positivity and expressiveness, both of which are measures of genuine passion. ​The tool is a hundred times faster and accurate than any human assessment. As a result, a business is able to identify top talent from their entire applicant pool.

Working with Computer Vision supports hiring decisions, HR professionals are able to draw conclusions from their own expertise when finally ‘meeting’ each candidate, but also review the Computer Vision comprehensive analysis on them alongside the other Cognisess assessments that analyse Job Fit, Culture Fit and Team Fit.  

Recently, we have studied the performance of the video analysis tool with our client, AB InBev – the world’s leading brewer. Focusing on the candidates who had successfully passed their video interview stage, we uncovered a statistically significant relationship between an internal assessor’s high rating of a candidate and a good positivity and expressiveness score. This further shows how accurate this technology can be and how it can be applied to create a fair and transparent recruitment process were any areas of unconscious bias can be corrected as a helpful correction mechanism to support HR professionals avoid bias.

Make every day a good decision day

Everyone of us within a workforce will have good and bad days, it is an inherent part of being human, after all. But in this new age of technology, AI and Computer Vision will ensure those occasion bad days doesn’t turn into bad hiring and bad decision days. If you would like to find out more about how our video analysis tool or Computer Vision can transform your recruitment process, book a FREE demo today with our expert team.    

Group of people sat in a sofa

Why humans aren’t redundant yet

It has been widely established that AI and Automation will transform the workplace and our economy. However, it will not only enhance a businesses technological processes but the people within it too.

Machines and algorithms are expected to create 133 million new roles but will replace 75 million positions by 2022, according to the World Economic Forum. But the question is, what type of roles is it creating and displacing? And what skills will these roles need?

Human connection can’t be automated

A few weeks ago CIPD released the ‘People and machines: from hype to reality’ report. It revealed that professional and higher technical staff are one of the most likely fields to be affected by AI and automation at 28%. In contrast, sales and service occupations are the least likely to be impacted at 5%. Although machines are more proficient in processing and understanding large amounts of data, they can’t replace human connection. For example, in sales positions, it takes that human connection to build a rapport with a customer and problem-solve any complaints or issues they are having. The ability to communicate, problem-solve, manage your time and stay motivated – widely known as soft skills.

Interestingly this shift is also reflected in the job market. According to Harvard University, the need for STEM-related roles greatly increased between 1989 and 2000 on the global jobs market but hasn’t significantly grown since. But positions in the creative industries, a sector which is rich in soft skills, increased in demand by 20% between 2011 and 2016. These statistics reveal a future where the need for soft skills in the workforce will become increasingly important.

What are the most valued soft skills?

At the beginning of the year, LinkedIn uncovered the skills companies will need most in 2019, and at the top of that list was creativity. We are about the enter the fourth industrial revolution, companies will need creatives to lead them into the future to create new ideas and methods of working alongside new technology such as AI.

The World Economic Forum also found that 90% of top performers at work also have high emotional intelligence. According to Psychologist Daniel Goleman, emotional intelligence is defined by five core components:

  • Self-awareness – an understanding of your own emotions and how they could affect others.
  • Self-regulation – this is the ability to think before you react to a situation and the degree you are able to control your moods and impulses.
  • Internal motivation – rather than pursuing a goal for a reward, you are motivated to achieve for personal reasons, for instance, personal development.
  • Empathy – you are able to recognise and understand other people’s motivations.
  • Social skills – you can build a network and manage relationships.

This skill is essential for successfully managing a team, communicating with colleagues or customers. The CIPD report at the beginning of this article showed that the least affected roles will be people focused. This ability will be key for employees who want to successfully conduct themselves in the workplace.

How can businesses measure emotional intelligence and creativity in their applicants?

Cognisess Pro can measure a variety of soft skills through our scientifically backed assessments, including emotional intelligence and creativity. Allowing companies to hire a future-ready workforce.

We achieve this using the Cognisess’ Baseline Assessments along with our Team Fit tool. Creativity is measured by:

  • A person’s openness to experience. If an applicant isn’t willing to try new things, they are unlikely to think outside the box

  • Conscientiousness. For a person to be highly creative this needs to be an average score. An individual needs to commit to a plan, but not so rigidly that they don’t attempt a different method that could work better.   

  • Risk taking. This also needs to be an average or just above average score. They need to be confident enough to take a calculated risk in order to pursue an innovative idea, but simultaneously not constantly take risks.

As a result of this, companies are able to create teams which have a strong representation in terms of both creative skills and aptitudes – but also ensuring the team composition has a high level of Psychological Safety. Psychological Safety is directly related to someone’s emotional intelligence and can be identified as a part of our Team Fit tool. Our expert analytics team have identified that team members who have higher emotional intelligence tend to also have a higher level of Psychological Safety. This means they feel more comfortable speaking their mind in potentially difficult or stressful situations. When considering this in terms of innovation and creativity, it becomes a vital skill for a person to have. As there is nothing gained for the company from someone who is extremely creative at work, yet lacks the confidence to share their ideas with the rest of their team.

How to stay relevant in a fast-changing world

From work carried out with a variety of companies over the past 2 years, Cognisess has identified that understanding the creative composition of a team is a very important factor for companies looking to be innovative.  

Many current thinking and methods will quickly become outdated and irrelevant to a fast-changing and increasingly automated world. Creativity and problem-solving are hugely important for keeping the focus and energy of an organisation moving forward helping to innovate their processes and systems through the coming transformational years  Without this ability to be more fluidly creative and adaptable, organisations will be held back or simply may become redundant in the market. Cognisess has recognised that being able to accurately identify and recruit the talent who can bring creativity and innovation, ill enable Talent Managers within HR to make better decisions about the people and teams who should be empowered as the trendsetters versus those are more likely to conform to or defend the outdated modes of thinking.

Creativity – in the right team environment – is becoming essential to future proof organisations. It elevates the organisation’s strength in producing ideas and innovation through the free trade of ideas and accelerate the uptake of innovation throughout the organisation and help to cultivate a positive culture of freely shared ideas and possibilities. Companies can then reap the rewards of a future-oriented culture that is constantly and confidently implementing new ways to improve the contribution and progression of the business for employees, management, customers and shareholders alike.

Become future ready and recruit the soft skills every company will need in the age of automation. If you would like to learn more about assessing creativity, emotional intelligence or our Team Fit tool, book a demo with our expert team.

People Analytics will change the way HR makes its decisions: but what’s driving this change?

Amongst marketing colleagues throughout any sector of business, it is inconceivable that customers would not have their fingerprints and footprints of their data analysed to the nth degree to better understand their value, buying behaviours, patterns of consumption and preferences.  CRM and other data driven disciplines like ASO, SEO, NPS are the life-blood of decision making in marketing. Sure hunches in marketing are still important – but only if they are backed up with data. So, why is it the case, that HR do not as yet apply the same rigour in better understand human potential and performance when making key hiring and appraisal decisions?

HR and People Management have always been an inherently human set of processes…. the clue is in the title. But are people necessarily the best judge of people? Traditionally HR, hiring managers and recruiters are trusted with the responsibility of using their experience to assess and select the best talent available in the market. Knowing what a ‘good hire’ looks like is part logic (reviewing CVs and experience track record) and part intuition (having a feel for whether the person will fit the organisation through interviews).  Both of these practices are fraught with inconsistencies, inaccuracies, subjectivity and even bias (unconscious or otherwise). But in fairness to the HR profession it has been very difficult, up until now, to replace the wisdom of experience with anything else.  But advances in Big Data, Cognitive NeuroScience, automation and machine learning – have heralded a new era of certainty and reliability in the form of People Analytics: the science of assessing people through data.

New Technology – New HR Solutions

Humans and AI are finally able to start working together to make better business decisions. In a recent McKinsey study, 47% of executives have embedded at least one AI capability into their business process.  However, HR remain the function which is least convinced of the benefits to their organisations in deploying AI in HR falling way behind operations, product development, service delivery and marketing and sales. Lack of coherent internal and external data sets, lack of skills to operate in an increasingly digital and data driven HR environment and lack of leadership to drive changes in traditional practices: are some of the main reasons cited for lack of uptake amongst businesses for People Analytics.

As a pioneer in bringing machine learning and People Analytics into the HR market over the past 5 years, here are a number of key benefits that Cognisess have delivered for those companies who have been early adopters for AI in HR.

Saving time – AI has an appetite for data. It is able to process applicants and identify the top candidates faster than an employee manually organising them. This means HR managers can spend more time preparing applicants for the role. Recently the world’s largest brewer, AB InBev, was able to interview their strongest candidates just 3 days after they’d sent in their application. Before employing Cognisess Pro’s people analytics, it took them 10 days. Cognisess saved them time, enabling them to hire the best talent faster.

Saving money – One bad hire can cost €45,000 (£39,294) in loss of productivity. Predictive analytics cannot foresee the future, but in can prevent unsuitable candidates from advancing through the process. It reveals not only the best talent –  but also those candidates who will fit or adapt into a specific company the culture, thrive in the role and therefore stay – thus saving companies a considerable amount of money and resource in the long term.

Increasing diversity, decreasing potential bias – Humans are naturally biased, and although we all do try to minimise it, our bias is always subconsciously present. In the past, there was no way to eliminate it from the recruitment process – predictive analytics and machine learning has completely transformed this. For instance, Cognisess Deep Learn ™ our AI engine, doesn’t take into account race, gender, age or background. Instead, it focuses purely on a person’s cognitive ability and emotional and social attributes to perform to any given role. This change allowed hotel giant, IHG, to eliminate potential bias by 93% from their recruitment process. This not only increases their prospect of developing a truly diversified workforce, but also demonstrates a clear commitment to fairness and inclusion for the employer brand.

How will it transform HR?

“Companies who adopt a predictive analytics system create a brighter future. They not only gain useful objective data on their applicants and employees, but they also gain insight about their talent pools. Managers can identify strengths and weaknesses – even uncovering hidden talents!” Comments Chris Butt, CEO of Cognisess. This approach encourages employees to develop their adaptability and skills whilst managers can better envision a person’s progression in a business by using AI to create complete picture about people and their potential.

As People Analytics become more affordable, accessible and user-friendly we will see many more companies recruit and appraise through a predictive analytics platform, whilst dialling back less reliable traditional recruitment methods. Forward thinking companies such as DFS and Knight Frank are already using our predictive analytics platform, Cognisess Pro to transform their approach. Cognisess Pro’s objective method of assessing talent works well to support and validate recruiters ‘gut instincts’ about a candidate with the data and evidence to back up why they are a good fit for the role. With Cognisess Pro, companies can constantly refine the attributes they are looking for whether it’s short term memory or emotional intelligence – or any other of 120 attributes the platform analyses.

The benefits for HR

Increased Efficiency

With 73% of applicants abandon job applications if they take longer than 15 minutes, there is clearly an art to retaining candidates until the end of an application. Cognisess Pro’s gamified assessments engage the candidate whilst gaining insights for the recruiter – 90% of applicants have a positive experience on the platform. “Our clients often see an increase in applications using our platform.” Reveals Chris Butt, CEO of Cognisess. A positive application experience also leaves candidates with a good first impression of a business.

Increased Diversity

With ethnically diverse teams outperforming non-diverse teams by 35%, it consciously pays to focusing on a person’s innate abilities and skills to identify what a balanced and diverse team fit looks like. Predictive analytics create a fairer process for all by removing subjectivity and bias. Typically recruiters are disposed to hiring the type of person they personally connect and recognise through experience or preference – rather than ability or potential.  Having a more objective approach greatly increases the chances of a building a more diverse and productive workforce.

Increased Speed to Hire

People analytics allows HR to recruit quickly cut through the volume of applicants and information to identify the best talent whilst creating a positive and fair process for every participant. Simultaneously the technology allows recruiters and managers to monitor and benchmark their existing employee talent pool to quickly spot opportunities to redeploy talent – rather than always reaching for an external solution.

Learn more about AI in HR

Cognisess is already supporting some of the world’s leading businesses to transform their approach to managing talent and potential. 

For more insight, download our recent case study with global hotel giant IHG.

What is unconscious bias and why it should be reduced in talent recruitment?

Unconscious bias: a brief overview

Every one of us carries a degree of unconscious bias. This is informed by our personal experiences, stereotypes and cultural context. It’s the way our brains make quick judgements about people and situations without us even registering it. Ultimately these inherent biases can impact decision-making in the hiring process. For instance, during a study by PNAS, participants were invited to review a number of job applications. Despite the applications being randomly assigning a male or female name, each reviewer was more likely to conclude:

  • The male applicants were better qualified than female candidates.
  • They were inclined to hire male candidates over female applicants.
  • The male applicants were deemed more worthy of a higher starting salary than the female candidates.   
  • They were more willing to invest in developing a male candidate than a female one.

This is a prime example of unconscious bias at play. Although reviewers didn’t deliberately discount females because of their gender; their unconscious bias did. Ultimately this would impact on the hiring decision, career development and salary of the candidates. It may have even prevented the best candidates from being considered for a position.

Can bias ever be eliminated or at least reduced?

“Because we are all human, we all harbour conscious and unconscious biases. Sometimes they’re useful – like when we stubbornly always choose to stay at our favourite brand of hotel; but often they’re not. Even when we try our best to identify and minimise them, they are always there as they form an intrinsic part of being human,” revealed Cognisess CSO, Dr Boris Altemeyer: “

Although this bias is instinctive, there are methods recruiters can use to minimise the risk of affecting hiring decisions. The emergence of artificial intelligence provides an effective solution to reduce bias. According to Dr Altemeyer: “AI doesn’t have to worry about understand its own unconscious bias, because it has none.”

Cognisess Pro, our market leading AI recruitment platform, makes it optional for candidates to disclose age, gender, race or the schools they went to and that can be hidden from assessors too.  More significantly this information is never taken into account for Cognisess assessments. This is called ‘blind recruitment’ and focuses purely on the attributes and abilities that matter when hiring a candidate. This process provides decision makers with an in-depth understanding of a candidate’s suitability for the role – regardless of background. The platform is data-driven with 50 assessments to choose from measuring over 120 attributes. This range of data has been proven to assist companies like AB InBev, CIL and IHG  make better informed and fewer bias decisions about recruitment and assessments.  For example, hotel giant IHG has recently eliminated potential bias by 93.75%using Cognisess Pro, enabling a fairer and more accurate approach to talent management compared to their more traditional recruitment processes.

Why should companies strive to minimise it?   

It is a given that leading recruiters are committed to a fairer recruitment process for applicants. This is important in building a credible employer brand and reputation to compete in the talent market.  But making a conscious effort to remove bias also provides other significant benefits. “Companies in the top quartile for racial and ethnic diversity are 35 percent more likely to have financial returns above their respective national industry medians.”  according to a recent Mckinsey report. Adopting an approach like Cognisess Pro which can reduce or eliminate bias, will lead to the development of a more diverse workforce.  “Teams which have a more diverse composition bring so much more to the business in terms of having strength in depth to maximise opportunities like problem solving, creativity, customer empathy and innovation which can benefit a company in both the short and long term,” confirmed CSO, Dr Altemeyer.

Additionally, a recent analysis of talent attraction strategies revealed that  67% of applicants want to join a diverse team .  Focusing on this will support companies to attract more candidates and the best talent into the applicant pool.

Taking the first steps to address bias

“In the battle for talent, not every company is going to win the hearts and minds of the top 3% of graduates every year – and that thinking in itself is a form of bias”, stated Cognisess CEO Chris Butt: “Therefore companies have no other option to but too look beyond the obvious to identify talent in its many forms and how it can ably fill the skills gaps they have.”

Cognisess Pro is the most advanced People Analytics and Assessment Platform on the market today bringing AI to HR. It is helping companies create a fairer process and pinpointing the best person for the role based on ability and potential – not gender, age or race. If you are uncertain of how to best start the journey of integrating AI into your HR processes, contact us today to schedule a demo and a two-week trial.

Cognisess Hosts Elite Athletes from Bath Rugby and Bath City FC

Adam Mann, Bath City forward, and Kahn Fotuali’i, Bath Rugby scrum half take part in Cognisess’ ‘Discover your Talent’ campaign.

The campaign is aimed at supporting people of all ages and backgrounds discover their talent and potential and ultimately find the right job, career or sport to play. This is not by using outdated or biased methods like academic results, IQ tests or CVs, but with neuroscience-based games and AI.

The software platform comprehensively analyses a person’s abilities including cognitive, emotional, behaviour, career values, personality and core skills. This holistic view provides a better insight into someone’s true talent and potential.

By playing games and activities and using some of the latest brain wave technology, the athletes created performance benchmarks which anyone can be compared to. Cognisess Sport are event sponsors of this year’s Bath Sports Awards and will be showcasing their technology at the event on Nov 20th.

As part of the campaign, Adam and Kahn played 3 short cognitive games measuring task switching abilities, risk taking and response inhibition. Both athletes were fitted with a neurofeedback device (or EEG headset) as they completed the activities.

Neurofeedback is used alongside Cognisess’ software games and measures a person’s brain waves,  giving coaches greater insight into what’s happening when someone completes a task. Used by athletes across all sports, the data provides optimised performance data and supports ongoing training and development.

Whilst Adam and Kahn played the assessments the Cognisess team tracked the brain’s performance measuring ‘psychological flow state’ – essentially this is how ‘in the zone’ someone is when doing something.

All sporting professionals get nervous and something known as the yips can impact performance. This is typically if an athlete thinks too much about the technique, instead of focusing on the activity.

Measuring psychological flow state allows a player the best chance in achieving their optimal performance. This powerful tool can be strategically used to discover a sport person’s potential.

Athletes – both amateur and professional use Cognisess Sport to:

  • Map aspects of performance – including cognition, emotion, personality and skills.
  • Map their emotional wellbeing – does mood inform performance? Cognisess worked with the next generation of elite racing drivers and discovered the link between self-esteem, speed and car performance.
  • Map team fit – this allows the coach to observe whether a player would fit into a team before signing.  

Cognisess are giving guests of the Bath Sports Awards and Bath Business Awards an opportunity to play the games on the night. Guests will be able to compare their scores to Adam and Kahn’s and other sporting heroes taking part.

The top 3 places on the leaderboard will win a prize. Cognisess is excited to be showcasing the technology to a wider audience as part of the ‘Discover Your Talent’ campaign.

To learn more about Cognisess Sport request a Demo or follow us on Twitter to keep updated with us.

Three Good Reasons to Utilise AI Over Traditional Recruitment Methods

AI is on the rise. 38% of companies now use AI and 62% of companies are expected to by the end of the year. But what is the buzz about? Why are so many businesses beginning to utilise it? In this blog post, Cognisess will reveal why AI is applied over traditional recruitment methods.

It’s the less biased approach

Subjectivity and bias are unavoidable traits in humans. There are 150 types of unconscious biases in the workplace, so it’s difficult to be completely objective when hiring from a CV. Cognisess Deep Learn™, our AI algorithm, isn’t programmed to take into account gender, race or age. 69% of executives agree diversity is an important issue. Deep Learn™ focuses on the skills of each individual, creating a fairer hiring process and a more diverse workforce.

The best AI tools employ a range of data to calculate well-rounded results. Amazon’s AI CV tool only operated with one type of data, a CV. The AI was taught what a good hire looked like from their male-dominated workforce data  – from this it learnt a successful candidate would be male so began to discount females.

On Cognisess Pro it is optional to disclose age, gender and race – but it’s never taken into account for our assessments. Cognisess focuses on the attributes that matter when hiring a candidate. The platform is data-driven with over 50 assessments to choose from and over 120 attributes. This range of data enables a less biased approach compared to a traditional CV.   

It cuts time and costs

Traditionally hiring a candidate is a lengthy process, the average time to fill is 40 days in the HR sector. 67% of professionals report AI saves them time. The recruitment timescale with AI decreases, for instance, here’s how effortless it is to hire through Cognisess Pro:

  1. Setting up a job and posting it online only takes 25 minutes,
  2. It only takes 15 minutes for each candidate to complete our sophisticated assessments.
  3. When you review the applications, instead of attempting to read all the application forms in your inbox Cognisess Pro has already analysed them and calculated a percentage of how suited each person is to the role. This allows you to review the top talent for the role, without searching through a mass of applications.

It costs a company £3,000 on average to hire one person. Cognisess has saved companies £250,000 purely on assessment centres after switching from traditional methods to Cognisess Pro. It performs the menial work for you, enabling a more efficient hiring process.

It allows you to retain your employees

78% of business leaders perceive employee retention as important or urgent. While one third of new hires leave after six months. It is a notorious issue, an employee leaving can lead to customer dissatisfaction, damaging your brand image as a result.  

Traditional recruitment methods aren’t able to assess whether a candidate will fit in with your company culture – but AI can. If you know a candidate will fit in with your culture, they will more likely to remain in the role. On top of Culture Fit, Cognisess Pro is able to predict current and future performance – reducing the risk of a bad hire. If a new employee is a good fit for the role it will create a loyal and engaged relationship with the company.

Adopting AI into at least one aspect of your recruitment process will enhance it. AI doesn’t make hiring decisions for you, it is there to present its analysis for you to make a balanced hiring decision.

If you are unsure how to incorporate AI into your recruitment process, contact us today to schedule a demo and a two-week free trial of Cognisess Pro – the most advanced People Analytics and AI Assessment Platform on the market today.

 

Why Amazon’s Ml / AI CV Selection Tool Developed a Bias

Our Chief Scientific Officer, Dr Boris Altemeyer, comments on why Amazon’s AI recruitment tool developed a sexist bias.

It is very interesting to see that a tech giant with, arguably, access to the absolute best talent in this area has admitted defeat. Their AI was simply automating bias, rather than removing it.

Based on our experience, it is not entirely surprising that this occurred. Relying on CV information for job fit is a limited, risky and biased approach. It is affected by factors such as language proficiency, the locus of control (how much you attribute things happening to you as being a result of your own actions), as well as education and social economic status.

Many high profile individuals rely on professional writers to fine-tune or completely ghostwrite their CVs. Therefore using mere a CV as an indicator of potential job performance relies on one – questionable – assumption: what you did in the past and are able to document coherently is indicative of what you are likely to do in a complex and changing environment.

It has been shown in research – meta-studies in particular – that CVs are not a reliable indicator of performance. Therefore, Cognisess starts at the point of which decisions are made: the brain.

The Cognisess Deep Learn framework that underlies many of our features doesn’t take the same approach as an AI CV selection tool. We are interested in learning as much as possible about a person to make a considered decision, whilst assessing their individual potential. However, personal information such as CV data is only a fraction (and actually the least part) that we are interested in.

Objective metrics such as the ability to inhibit automatic responses, paradigm-shifting, or problem solving, are not impacted by your ability to express how good you are at them. Which is why Cognisess use accessible game mechanics to measure them.

Whilst one can argue that there are gender differences between certain aspects of brain preference and function, this is far less of a concern in our complex profilers. If one were to select an employee purely based on one attribute, it wouldn’t paint a full picture of a candidate. However, when we build profilers with up to 140 separate aspects, each of which can have individual weights, target values, and thresholds, these effects arguably become insignificant.

The wealth of data that can be generated on cognition, emotion, behaviour and emotion detection in videos via AI, allows employers to take the crucial step to calibrate what ‘best’ truly looks like. In many cases, the Amazon AI recruiting tool will lead to additional scrutiny on what has caused the bias in workforce diversity including the poorly established or biased KPIs.

Contact us to schedule a demo and a two-week free trial of Cognisess Pro – the most advanced People Analytics and Assessments Platform in the market today.

Cognisess to Launch Office in Singapore After a Successful Trip

Last week Chris Butt, CEO of Cognisess, conducted a successful trip to Techinnovation in Singapore. We are an emerging company with global ambitions. The aim of the trip was to establish individual relations with partners and collaborators from around the Asia Pacific. The trip was supported by the British Government and the Department of International Trade (DIT).

Cognisess is interested in the Asian Pacific market, according to PWC it is projected to be the fourth largest economy globally by 2020. Chris Butt travelled to Singapore as it boasts the best business environment in the world (The Economist Intelligence Unit Country Forecasts Report 2018) and is the best in the region for global innovation (The Global Innovation Index 2018). These factors create the perfect conditions for our innovative product to thrive.

Singapore’s rapidly growing market is an ideal location to expand to, so our CEO travelled to the country to investigate further. Chris Butt, our CEO, comments:

“I wanted to establish an understanding of the culture, the background and the opportunities Singapore has – there is so much potential there.”

Across the two days at Techinnovation Cognisess was based at an Innovate UK Hub stand. We would like to thank Innovate UK, EUREKA and Enterprise Europe Network for their collaborative organisational effort on this. The stand gave us the opportunity to showcase our product, gaining a lot of footfall and client leads as a result of this. Our product attracted the interest of the marine, oil and gas sectors – which are big industries in Singapore. We additionally gained a number of potential partnership opportunities in recruitment, consultancy, HR and technology firms.

Chris Butt comments on his time in the country:

“I especially enjoyed being part of a delegation of fifteen UK technology companies looking to export their products into the Asia Pacific market, which was part of the DIT mission. This included visiting the British High Commission, connecting with a number of the High Commission staff and meeting Natalie Black – the Trade Commissioner for the Asia Pacific. I would like to thank DIT for organising this and the useful information we received from them – including potential partner and customer contacts.”

As a result of this trip, Cognisess will be cementing partnerships within the next few months and setting up an office in Singapore by 2019. This is part of our vision for Cognisess’ software to be operated on a global scale.

 

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What Does a High Performing Team Look Like?

72% of all organisations Bandran Hall Group surveyed reported team performance has a positive effect on overall productivity. But what attributes produce a high performing team? Discover if your team is displaying traits of a high performing group with our guide below.

The Team is Cohesive.

Teams with a high level of cohesiveness are successful with their business ventures. Cohesiveness can be defined as the degree of every team member corporates and remains united when working towards a common goal. According to Schneider, Gruman and Coutts Applied Social Psychology: Understanding and Addressing Social and Practical Problems – high performing teams may not always agree, but their differences don’t affect the achievement of the goal.

Richard Daft and Dorothy Marcic wrote in Understanding Management  – a high performing team will respect their team members and assume the rest of the team are acting on the best intentions for the sake of the task.  They tend to focus on the task ahead of them, instead of how the individual feels about each decision. Fully committing to decisions creates a sense of shared responsibility. This increases communication, producing a higher morale, a friendlier environment and loyalty to the group.

The dedication to the tasks allows the team to feel united and happy when the team succeeds, raising an individual’s self-esteem to feed into an increase in performance. Unsure how cohesive your team is? Place your team on the path to high performance with Cognisess Team Fit.  Assess their cohesiveness and compare employee attributes. Team Fit collates the data into a user friendly graph, allowing you to observe how dynamic your team is. A strong team will have a varied skill set, for instance, if one individual’s weakness is creativity it will be another’s area of expertise.

Individuals Have a High Level of Emotional Intelligence.

According to Judith Ross in “Make Your Good Team Great,” Building Team Trust and Cohesiveness high performing teams display a high level of emotional intelligence. This is the ability to perceive and understand emotions. Each high performing team member trusts one another, has confidence in themselves and has a strong team identity.

A study by Myra Beam on Emotional Intelligence and Team Cohesiveness found emotional intelligence positively feeds into a team’s level of cohesion. Emotional Intelligence enhances decision making, regulation and self-management, which are important in teamwork. Emotional intelligence is a measurable attribute on Cognisess Pro through a variety of assessments, including the Emotion Test and Emotional Self-Appraisal. Discover how emotionally intelligent your employees are individually to be a stronger team long term.

An emotionally intelligent team practises these three key methods that organisational behaviour experts, Vanessa Druskat and Stephen Wolff, uncovered:

Allocating time to appreciate individuals skills.

Managers organise team building activities as an opportunity to appreciate everyone’s skillset. Participating in games aid discovery of individual skills on a personal level. The activity is usually organised outside their normal working hours and location.

Team members who interact away from their normal environment will have greater empathy for each other and a sense of togetherness. Teams must develop a sense of awareness of each others skills and personality. If employees are well acquainted they gain a higher level of trust with each other. Trust improves motivation and if individuals are more motivated, they are also committed to being high performers.

Discovering a method to diffuse negative emotions.

Tackling the emotional concerns of the team are essential to remain on track to success. Managers aim to establish with the team how they will express any tension, anger and frustration that can occur when working in a project –  converting it into positive energy.

Team members could participate in a weekly half an hour meeting to voice any grievances and share how they are feeling with one another. This platform allows employees to tackle issues with each other, which could have produced a negative atmosphere long term.

Celebrate their success.

A high performing team needs to have the opportunity to express positive emotions, such as admiration, to build their collective emotional intelligence. The recognition of their achievements will cement the team’s identity, showcase their effectiveness and their ambition for excellence.

A high performing team is not a rare occurrence, it is an achievable goal accomplished by  focusing on your team’s skills, cohesiveness and emotional intelligence. But you cannot start a journey if you don’t know where you’re going. Cognisess Pro is able to support a team’s development with AI analytics, kickstarting your journey to high performance. Start your journey today to a better team and a better business.

Contact us today to schedule a demo and a two-week free trial.

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3 Killer Questions for a Job Interview – and the Science behind them

Bauldville reported on the first day of a role 67% of millennials are already thinking about applying for a new job. To improve your chances of finding a great hire that is more likely to stay, use these questions and the science behind them.

Tell me about a time you made a mistake at work?

A question like this aims to understand two areas: a candidate’s resilience – whether they can overcome challenges quickly, as well as their emotional intelligence – which is how honest they are with themselves or others about their actions and feelings.

Resilience sits under the personality type ‘emotional stability’, one of the ‘Big Five’ personality factors, proposed by Costa and McCrae (1992). Emotional intelligence is measured by the ‘Emotion test’, which is taken from research by Paul Ekman. Both attributes can be measured through Cognisess’ platform using two assessments heavily substantiated by their research.

It is not about the size of the mistake they describe, but how the candidate dealt with the aftermath of it. ‘‘You won’t hear people low in emotional intelligence take much accountability for their mistakes.’ claimed Mark Murphy in Forbes.

Does the candidate accept responsibility for making a mistake? A research article ‘Who Accepts Responsibility for Their Transgressions?’ by Schumann and Dweck (2014) found that people are more likely to apologise and take responsibility for their actions if they believe they can change their behaviour. This acceptance demonstrates a ‘growth’ mindset and a willingness to change in the future. A key feature of personality traits are that they remain stable across time and context. With this in mind, the findings of this study remain generalisable to the work environment, even though the original context was romantic relationships. As such, this study demonstrates a key behavioural factor in how successful an employee will be in the workplace.

Tell me an interesting fact about yourself.

Not only will the answer demonstrate an example of their personality type, it will also give the interviewer an insight into how the individual views themself. The candidate must select what they deem to be ‘interesting’ it offers a view of how the individual will fit within the company or team culture. For example, a candidate who chooses to relay information about a recently gained skydiving qualification may be more extraverted than a candidate who has expressed their passion for classical literature. Depending on the position available and the culture of the company, one candidate may be better suited than the other. Extraversion is also one of the more commonly discussed traits from ‘The Big Five’ (Costa and McCrae, 1992).

This also may not be a question the applicant has prepared for. You will be able to observe first hand how an applicant thinks under pressure. However good a person is at hiding how they feel about a question, their true expression will display on their face for one-fifth of a second. Cognisess Video Intelligence is able to capture this to enable you to explore how the candidate is actually feeling.

 

 

Do you have any questions?

This will be able to tell you how attentive an applicant was throughout the interview, if done right it should feel like they are interviewing you.

Top candidates may display ‘reflective listening’ – a communication strategy where a candidate listens to what you have said about the role and then paraphrases parts back to you in a form of a question. Good listening skills exhibit emotional intelligence, as the applicant values what you are saying instead of thinking about what they want to say. This will be more important when recruiting for a leadership role as in one study, 44% of employees reported poor communication skills as a main obstacle when successfully leading a team.

Additionally, Cognisess’ software is able to reveal insights into candidates prior to the interview stage. It assesses them on all levels – their cognitive capacity, emotional intelligence and personality. Our algorithms then custom builds an interview guide from a database comprised of 500 questions tailored to the role you are hiring for; saving you time before the interview and allowing you to really listen to what each candidate has to offer.

 

To understand how to use People Analytics for more successful hiring contact us today.