Home topics news Image Credit: Adem AY on Unsplash News News Research shows chat-based interviews are fairer for candidates with disabilities Yajush Gupta July 17, 2024 New research from Sapia.ai has slated chat-based interviews as one of the fairest means of evaluating candidates with a disability. The study canvassed global responses from 595 self-reporting a disability, 595 randomly selected from those not reporting a disability, controlling for similar gender, race, and answer length distributions. The study — which was previously presented at the Society for Industrial and Organisational Psychology conference in the United States — canvassed global responses from 595 self-reporting a disability, 595 randomly selected from those not reporting a disability, controlling for similar gender, race, and answer length distributions. It revealed a minute difference in the candidate passing rate for those reporting a disability against those without one, recording data for those declaring dyslexia, autism or a stutter. The grid below indicates the percentage of candidates who passed the initial screen using the Sapia.ai platform. It also measured the level of effect their declared disability had in relation to their ability to proceed. Under 0.2 is considered a small impact and below 0.5 is considered a medium impact. The grid below indicates the percentage of candidates who passed the initial screen using the Sapia.ai platform. The study also measured the practical impact of the results across groups shown as the effect size. Under 0.2 is considered a very small effect, likely to be of no practical significance and