AI Governance in HR

Artificial Intelligence is rapidly transforming Human Resources — from recruiting and candidate screening to performance management, workforce analytics, employee monitoring, and talent decisions. But when AI influences decisions about people’s careers, opportunities, and livelihoods, innovation must be matched with governance.

AI Governance in HR is a practical, case-driven course designed to help HR professionals, managers, compliance teams, risk professionals, consultants, and business leaders understand how to use AI responsibly across the employee lifecycle.

Throughout the course, you will explore how AI is already being used in Human Resources, where these systems can fail, and how organizations can build effective governance mechanisms around them.

We will examine real-world HR AI failures and the risks behind them, including algorithmic bias, discrimination, privacy, surveillance, lack of transparency, questionable accuracy, and excessive automation.

You will learn how major regulatory and governance frameworks apply to HR AI, including the EU AI Act, US employment and AI regulations, GDPR, KVKK, the NIST AI Risk Management Framework, and ISO/IEC 42001.

The course also goes beyond regulation. You will learn how to evaluate fairness in AI-supported HR decisions, understand bias metrics, assess AI vendors, establish human oversight, manage third-party risks, and monitor AI systems after deployment.

Key areas covered include:

• AI across the employee lifecycle

• AI risks and real-world HR failures

• EU AI Act and high-risk employment AI

• US HR AI regulations and NYC Local Law 144

• Employee privacy, GDPR and KVKK

• Algorithmic bias, fairness and non-discrimination

• NIST AI RMF and ISO/IEC 42001

• AI governance in recruiting and hiring

• Algorithmic management and employee monitoring

• AI vendor due diligence and third-party risk

• Building an HR AI governance program

• AI auditing, assurance and future trends

By the end of the course, you will understand not only what responsible AI in HR means, but also how to translate governance principles into practical policies, controls, assessments, monitoring processes, and organizational responsibilities.

No programming or advanced technical knowledge is required. The course is designed to make AI governance practical and accessible for professionals responsible for people, technology, risk, compliance, and organizational decision-making.