Quality Assurance for Artificial Intelligence: A Study of Industrial
Concerns, Challenges and Best Practices
Quality Assurance for Artificial Intelligence: A Study of Industrial
Concerns, Challenges and Best Practices
Quality Assurance (QA) aims to prevent mistakes and defects in manufactured products and avoid problems when delivering products or services to customers. QA for AI systems, however, poses particular challenges, given their data-driven and non-deterministic nature as well as more complex architectures and algorithms. While there is growing empirical evidence …