Algorithmic inclusion: Shaping the predictive algorithms of artificial intelligence in hiring

Despite frequent claims that increased use of artificial intelligence (AI) in hiring will reduce the human bias has long plagued recruitment and selection, AI may equally replicate amplify such embed it technology. This article explores exclusion inclusion AI-supported hiring, focusing on three interrelated areas: data, design decisions. It is suggested terms organisational fit, categorisations intersectionality require consideration relation to exclusion. As various stakeholders collaborate create AI, essential explore which groups are dominant how subjective assessments encoded Although should enhance decisions, evidence lacking humans machines interact decision-making, algorithms can be audited regulated effectively for inclusion. recommends areas interrogation through further research, contributes understanding algorithmic achieved hiring.