Michael Zeoli

AI is moving fast—faster than most governance models can catch up. In HR Shared Services, the stakes are especially high. These systems handle sensitive personal data, drive employee experiences, and influence decisions around pay, promotion, and support. And yet, when we polled our HR SSOW community, most leaders admitted they had no formal AI governance in place. That has to change—and fast. This session breaks down what AI governance in HR really means, why it's non-negotiable for scaling responsibly, and how to stand up an AI Ethics & Governance Committee or Task Force in your organization. Whether you’re piloting copilots, launching chatbots, or embedding skills-based routing, governance ensures you can innovate without compromising trust, fairness, or compliance. 

• Explore the legal, ethical, and reputational risks of operating without guardrails—and why HRSS can’t leave governance to IT alone. 
• Learn how to form an effective task force: who to include, how to scope responsibility, and what decision frameworks to adopt (e.g., fairness, explainability, auditability). 
• Get tools for embedding AI governance into project workflows—from risk assessments and model vetting, to usage audits and employee feedback loops.