The AI Performance Review Paradox: Why Measuring Usage Is Failing
Companies are struggling to integrate AI usage into performance reviews, leading to inconsistent and often flawed evaluation methods. While some firms use archetypes or dashboards to track adoption, critics argue that measuring AI use without clear benchmarks rewards speed over accuracy and ignores the value of human judgment. A new framework suggests separating human, AI, and collaborative metrics to address this 'performance paradox.'