Artificial intelligence is already deciding who gets called for an interview, who is flagged as a flight risk, and how much someone should earn - often before an HR professional even knows there's a question to answer. This is not a book about the future of work as an abstract idea. It's a book about HR right now, grounded in published research from SHRM, Gartner, McKinsey, IBM, Mercer and the World Economic Forum, real cases that already produced lawsuits and settlements, and practical frameworks for decisions HR leaders face this week. Inside, you'll find the Amazon hiring algorithm that learned to penalize women without anyone programming it to; the first EEOC settlement over AI discrimination and the ongoing case that could hold software vendors directly liable; why 88% of HR leaders still see no clear value from their AI tools even as adoption accelerates; and a practical 90-day roadmap to diagnose, structure, and measure AI in your own HR function. The core argument is simple: AI doesn't create bias or fairness on its own - it amplifies, at speed and scale, whatever your decisions about people already look like today.
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