The initial excitement caused by the potential of AI has been dampened in recent years by the fear that new technology could result in the loss of millions of jobs as the growth of robots, virtual assistants and automated processes will see humans become expendable.

However, despite the expected mass unemployment, companies are actually turning to AI to help hire new staff with AI providing insights beyond CVs and professional experience and into candidates’ ‘lives’. IHG recently started using AI and predictive analytics to find similarities between top-performing staff and potential employees. Some companies are even using computer vision to analyse facial expressions in interviews to understand candidate in even more detail and see how they may fit in with teams in the organisation.

AI will mean companies know more about potential candidates personalities long before they come in for an interview.

Today, we use keyword searches on resumes to find candidates possessing specific skills, and use targeted online advertising to seek out and recruit candidates. AI will help recruiters prescreen candidates’ ‘lives’ (not CVs) for the best matches. Deep learning algorithms will reveal the most successful attributes for candidates for specific roles and may even identify and recommend specific individuals data mined from millions of people around the world.

Through data-mining of social networks, AI will go beyond matching skills and map out personality traits, such as a candidate’s work ethic, ability to work on teams, and an individual’s effectiveness. Algorithms will be able to compare a candidate’s online “persona” and activity to the millions of individuals that have been successful in similar positions.

AI will also enhance diversity in the workplace by helping to establish the best practices for employee training and workplace culture. Take for instance the growing population of refugees – workplace training for these displaced individuals requires hiring managers and companies to understand the needs and experiences of these populations. Finally, AI will provide data driven insight into the true causes of employee attrition. This will be critical for ensuring the successful recruitment and retention of diversity candidates.