Episode Details

Only 2% of organizations are using AI for diversity and inclusion work — even though research shows it can improve diversity hiring effectiveness by up to 48%. That gap is striking. In this episode, we dig into why the highest-potential AI use case in HR is also the least adopted, what early movers like Intel and Salesforce are doing differently, and the one cautionary case that's keeping everyone else on the sidelines. The hesitation isn't irrational — EEOC v. iTutorGroup showed exactly what goes wrong when AI is built on biased data with no oversight. But the organizations seeing real results are doing something different: defining DEI objectives first, keeping humans in the decision loop, and auditing outputs continuously. Whether you're skeptical of AI in DEI or ready to explore it, this episode gives you a grounded framework — and a clear four-step starting point that separates the success pattern from the failure mode.