We remain clear in our belief that successful recruitment will always need human intervention. But we also know that some emotional AI tools such as chatbots that can ‘read’ people’s moods and respond accordingly and tools that reduce bias are beneficial when managing an ever-increasing to-do list.
Statista reports that 65% of consumers believe AI-powered emotional intelligence will play a significant role in their interactions with technology by 2030. Whatever your point of view, most of us agree that AI isn’t going anywhere. So, any efforts to make our interactions with it more natural and empathetic is surely a good thing.
This article explores some of the roles that emotional AI currently plays in recruitment, what the potential benefits are and why we still need human intervention for the end-to-end recruitment processes.
What is emotional AI?
Emotional AI, otherwise known as affective computing, is a branch of artificial intelligence that aims to recognise, interpret and respond to human emotions. The technology analyses facial expressions, voice tones, body language and other signals to gauge mood and emotional state. You’ve probably already been exposed to emotional AI in your work and personal life, including the aforementioned chatbots and other customer service/feedback mechanisms.
The role of emotional AI in recruitment
Emotional AI offers some significant advantages in the recruitment sector, mostly related to enhancing the efficiency and effectiveness of the hiring process. Traditional recruitment methods often rely on sifting through large numbers of resumes and conducting several rounds of interviews. This is time and resource-intensive and can limit the recruiter’s ability to assess a candidate’s suitability for a role. This is particularly true when it comes to soft skills, emotional intelligence and cultural fit. Emotional AI can provide deeper insights into these areas by analysing a candidate’s non-verbal cues and emotional responses during interviews.
Emotional AI can also help identify character traits like empathy, resilience and adaptability by observing how candidates react to specific questions or scenarios. Procurement and supply chain roles often require professionals with strong interpersonal skills or who can handle high-stress situations effectively. AI can support the recruiter’s efforts when identifying these attributes.
Emotional AI and unconscious bias
Emotional AI also has the potential to reduce unconscious bias in recruitment. Here are some examples:
Confirmation Bias: This occurs when hiring decisions are influenced by stereotypes or preconceived notions, such as preferring resumes with ‘white-sounding’ names. AI offers a solution to this by evaluating candidates impartially based on objective data like skills and experience.
Implicit Bias: Subconscious beliefs or attitudes affect decision-making, for example when disclosing race on resumes reduces interview invitations for minority applicants. AI can mitigate this by screening based solely on objective criteria and flagging what it considers to be biased language.
Halo Effect: This occurs when a positive impression in one area, like attending a particular school, influences perceptions in other areas. AI can counteract this by implementing objective evaluation processes that focus on specific performance criteria.
Similarity Bias: This bias involves a preference for candidates with similar backgrounds or experiences, which AI can help eliminate by assessing candidates based on predefined criteria rather than personal similarities.
Gender Bias: This bias involves favouring one gender over another, often disadvantaging people who identify as women. AI can address this by removing gender indicators and promoting a gender-neutral approach in the hiring process.
Find out more about why emotional intelligence in recruitment matters.
Benefits of emotional AI in recruitment
Enhanced candidate screening
Emotional AI can process vast amounts of data quickly, meaning recruiters can potentially screen candidates more effectively. By analysing facial expressions, vocal tones and other indicators it can identify the most suitable candidates for further evaluation, saving valuable time and resources.
Improved interview processes
By providing real-time analysis of a candidate’s emotional state during interviews, emotional AI can help interviewers ask more relevant questions and probe deeper into areas that may reveal a candidate’s true potential or concerns.
Bias reduction
As we outlined above, emotional AI can help mitigate biases in recruitment by focusing on emotional and behavioural data rather than subjective impressions or stereotypes. This can lead to more diverse and inclusive hiring outcomes.
Better cultural fit assessment
Understanding a candidate’s emotional intelligence and interpersonal skills can provide insights into how well they may fit into the company culture, reducing turnover and increasing employee moral and job satisfaction.
Why recruitment still needs human intervention
While emotional AI has the power to enhance and improve recruitment processes, it is simply not reliable or effective enough without input and insights from us humans.
Here’s why.
- We need a nuanced understanding of emotions Emotional AI can recognise and categorise basic emotions, but the technology is still evolving and is unlikely to fully grasp the subtleties and complexities of human emotions. We are better equipped to understand context, intent and the nuances of different emotional states.
- Ethical and privacy concerns The use of emotional AI raises important ethical questions around consent, data privacy and the potential for misuse. Quite understandably, candidates may feel uncomfortable about the idea of being analysed by AI during interviews, which could negatively impact their performance. Human oversight, by professionals who understand the situation and potential implications is essential to ensure that emotional AI is used ethically and that candidates’ rights and privacy are respected, at all times.
- Balancing objectivity and empathy While emotional AI offers objective insights, recruitment requires a healthy dose of empathy and plenty of understanding. This is particularly true when providing feedback or making the right hiring decisions. Human recruiters can offer the necessary support and reassurance that AI lacks, creating a more positive experience for both the candidate and the recruiter.
- Interpretation of results Data provided by emotional AI needs careful interpretation by recruitment or AI specialists. Emotional responses can be influenced by numerous factors, including stress, health, mood, what happened on the way to work that morning and so forth, which may not be relevant to a candidate’s suitability for a role. Human input from recruiters provides valuable contextualisation, helping to ensure decisions are fair and accurate.
What is the future of emotional AI in recruitment?
None of us knows what emotional AI will look like in six months let alone a few years. The technology is developing rapidly and adoption across the recruitment and business world will continue to increase.
However, we predict the future of recruitment will likely involve a hybrid approach, combining the analytical capabilities of emotional AI with the empathetic and ethical oversight of human recruitment specialists. This winning combination should help organisations make more informed, unbiased and empathetic hiring decisions, leading to better outcomes for all parties.
Whether you’re a talented procurement and supply chain professional seeking a new role or a business looking to grow or upskill your team, get in touch today. We are connected to some of the top talent and most exciting businesses across the UK and beyond. Let’s have a human-to-human chat about how we can help you achieve your goals.
