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 of Cognisess Pro – the most advanced People Analytics and AI Assessment Platform on the market today.

Combating Bias in Recruitment: Cognisess addresses the issue in the Sunday Telegraph article

The Sunday Telegraph added their voice to the debate surrounding the introduction of automation and AI into the workforce area by publishing an article regarding the future of recruitment and how it may remove bias from the recruitment process: www.telegraph.co.uk/combating-bias-in-recruitment

The article chooses the timing of the #MeToo movement to examine the future of candidate recruitment and asks whether it is possible to remove the bias out of talent selection using AI to analyse key employment skills, capability and performance – thus potentially replacing the traditional job interview. The argument being that machines are neither aware nor interested in someone’s age, gender, looks or other points of subjectivity which humans are sub–consciously (or consciously) prone to.

The article highlights how the Cognisess platform is designed to eliminate bias at the early stage screening process as well as the final stages of recruitment. “Unlike a human being AI has no inherent bias and even if all of the data is not completely perfect, the volume it accesses – three million data points every 10 minutes per applicant in some cases – gives it a considerable advantage over humans.” Commented CSO Dr Boris Altemeyer in the article.

Cognisess Deep Learn™ is the AI engine and the intelligence behind everything at Cognisess, using machine learning and algorithms to synthesise and observe probabilities and patterns. It’s an innovative and dynamic predictive analytics tool with the ability to learn, absorb and react to multiple information streams and data sets.

Dr Altemeyer explains “Technically this system can recruit in its entirety, but we would never advocate removing people completely from the process. If you think about humans reviewing 60 or more video interviews a day and still being absolutely unbiased or as sharp as when they watched the first one that would be a tall order for anyone, so it’s about getting as much of the purist data to them, so they make the best decisions”.

There are ever increasing pressures on companies to reduce bias and speed up hiring processes meaning HR and Recruiters have no choice but to turn to new technologies to make them more accurate, transparent and fair. These technologies mean that candidates and employees can not only look forward to being handled in a way that is inherently fairer and more accurate – but also they are hoping the new technology will provide a more personalised and individual approach – far greater so than any HR or Recruiter would ever have the time to dedicate.

AI may not solve societal inequality through talent recruitment – but it will improve social mobility far more than a human recruiter will be able to. Cognisess’ mission is to deliver a more accurate, fairer set of actionable insights into how we, as people, are assessed. And ultimately, that’s all most of us really want when putting ourselves forward to be considered for career opportunities. We simply want our potential to be judged objectively as to whether the job opportunity is well within our capability levels or perhaps it’s more of a stretch into a related field.  So let’s bring it about and be ever more transparent.

For more information about how Cognisess uses AI to remove bias from talent and recruitment assessment contact us at support@cognisess.com.