The AI hype is sweeping through HR tech. Your organization can no longer point to vendors saying “it’s their model, not ours” that created bias in your talent processes. You are legally liable for every “black box” model in your HR tech stack. In People Analytics, AI/ML models such as those that predict attrition risk can be used to direct resources toward specific groups/individuals to boost retention. But are generic AI/ML models meeting basic ethical standards? How to separate hype from reality and to ensure you’re on sound ethical footing with your AI/ML?