Implementing AI Quality Assurance for User Trust

This guide explores the critical importance of AI Quality Assurance in validating outputs and improving user trust. It highlights key findings from a Forrester study commissioned by Cognizant and Microsoft, revealing the current gaps in AI quality assurance capabilities among organizations. The document outlines the essential components of AI quality assurance, its impact on model security, performance, reliability, accuracy, and ethical compliance, and provides actionable insights for organizat