What happens when AI makes the decision-and HR owns the risk?
When AI Breaks the Law: AI Governance for Talent Leaders is an operational guide for Human Resources, legal, compliance, and executive leaders who manage AI risk across the talent lifecycle and build readiness for emerging state AI laws and the EU AI Act.
AI is no longer a future workplace issue. It is already used to screen applicants, rank candidates, recommend promotions, assess performance, automate workflows, and power employment decisions that shape people's careers. As these systems become embedded in HR technology, organizations face a critical question: who is accountable when AI causes bias, discrimination, legal exposure, or harm?
That question is already being tested in court. Anchored in Mobley v. Workday, the book examines what happens when AI-driven employment systems allegedly disadvantage job applicants before human intervention. The case has become a warning sign for HR leaders who rely on vendor technology without clear oversight, testing, documentation, and accountability.
Margaret Spence brings an HR-first perspective to one of the most urgent challenges facing employers today. Rather than treating AI oversight as an IT problem, she reframes it as a leadership, risk, and operational accountability issue for the people function.
What if the greatest barrier to AI adoption is not the technology, but the lack of governance?
This book outlines the SimpliFocus AI Governance Framework(TM), designed exclusively to manage AI risk across the talent lifecycle. With practical tools, real-world examples, and plain-language guidance, readers learn to inventory AI systems, question vendor claims, assess bias risk, build human-in-the-loop reviews, create audit trails, establish an AI Governance Council, and train teams to challenge automation with confidence.
Grounded in emerging regulatory pressures, including the EU AI Act and the evolving U.S. employment law landscape, SimpliFocus(TM) helps leaders move from awareness to action through an operational model for responsible AI oversight.
When AI Breaks the Law is designed for CHROs, HR executives, talent acquisition leaders, front-line managers, employment counsel, board members, CEOs, and HR technology owners. It serves as both a warning and a playbook. It explains why human judgment must remain central to AI-driven talent decisions and how organizations can build systems that protect people while enabling innovation.
For any leader expected to "figure out AI" in the workplace, this book offers a clear path forward: make AI safer, fairer, more transparent, and more accountable-before the system makes decisions your organization cannot defend.