Age, physical abilities, race, ethnicity, gender, and sexual orientation are primary markers of diversity at most organisations. However, there are secondary markers as well that manifest in the form of education, class, language, geography, marital and parental status etc. To make matters more complicated, organisational bias is often found at the intersection of these. A D&I strategy, in the absence of an informed AI accounting for these intersections, can simply not be effective in championing for the diverse pool of employees that modern organisations look to work with.
What then stops many well-meaning organisations from relying on artificial intelligence for an inclusive culture is a very real threat that artificial intelligence, if unchecked, can overtime exacerbate human bias and create more problems than it solves. Therefore, a combination of human + artificial intelligence has emerged as the best way forward. AI-powered systems can be modelled after an organisation’s inclusive values to reach out to a more diverse pool of candidates, scan their resumes faster, verify them against relevant parameters of their diversity marker, and onboard them within a cultural context that they best identify with.
Assimilating convicted and ATS system-neglected minor criminals back into workforce; predictive text, speech-to-text transcription, and voice and visual recognition for people with disabilities, gender neutral interview assessments, training facial recognition systems to work for a racially diverse pool and using attrition trends to identify top employee dissatisfaction areas are some of the examples of a combination of AI+ human intervention that is transforming workplaces. But most crucially, what all these workplaces have in common is a committed and sensitive leadership that pro-actively shapes these technologies to eliminate bias.