AI Interview software may unquestionably increase recruiting diversity for technology-based professions, according to independent research released by Sapia.ai, the only deep-learning AI-powered smart chat platform in the world.
The scientific study, which was directed by Professor Andreas Leibbrandt at Monash University, found that using AI tools in recruitment resulted in a 36% increase in the number of women applying for a web developer role, compared to recruitment without AI. Professor Leibbrandt is also a co-founder of the Science of Diversity & Inclusion Initiative (SODI.org).
Global brands trust Sapia.ai to accelerate and strengthen their recruitment and promotion processes. An easy-to-use messaging platform is used by a conversational chat AI that uses Natural Language Processing (NLP) to interview, evaluate, and screen candidates for the best talent.
The findings also indicated that using AI for screening and assessment resulted in:
- Women’s completion rates rose by 33% when it was revealed that AI was being used for evaluation
- Increased representation of women by 30% at the 50% evaluations percentile and by 160% at the 90% evaluations percentile
- The gender assessment gap that otherwise disadvantages female applicants was eliminated when evaluators were given access to applicants’ AI scores.
Additional survey data indicates that the increased gender diversity was motivated by women’s perceptions that AI reviewers would be less biased than human reviewers.
There were two field experiments for the study. The first experiment examined whether candidates would be more likely to participate in the smart chat interview if they knew that their answers would be assessed by computer algorithms rather than human reviewers. The second examined the impact of evaluators knowing the gender and AI score of the candidate ahead of providing an evaluation talent intelligence .
Professor Andreas Leibbrandt expressed gratitude to Sapia.ai for its assistance with this study. “We chose to collaborate with Sapia.ai because they have already demonstrated their intention to positively impact gender diversity across a wide range of industries with the use of chat-based interviewing and assessment.”