HR technology selection has shifted from simple feature comparison to risk and governance design. AI-enabled recruiting, talent intelligence, performance analytics, learning platforms, and employee listening tools can significantly improve speed and decision quality—but they also introduce new risks, including biased outcomes, opaque decision logic, weak vendor controls, privacy exposure, and poor adoption when workflows are not designed effectively.

This webinar is designed for HR professionals globally who lead HRIT selection, collaborate with procurement and IT, or oversee people analytics and AI governance. It provides a structured, practical approach to technology selection: defining outcomes and decision points, mapping data flows and controls, evaluating vendors beyond demonstrations, and building implementation plans that deliver value without creating compliance risks.

Where relevant, the session references widely recognised global frameworks used across HR, legal, and security functions, including AI risk and governance standards such as NIST AI Risk Management Framework and ISO/IEC 42001, as well as privacy principles under General Data Protection Regulation and standards such as ISO/IEC 27701 aligned with ISO/IEC 27001. These are presented as practical benchmarks that can be applied across jurisdictions, even where not legally required.