A Guide to AI Quality Assurance Frameworks and Best Practices
At its core, AI quality assurance (AI QA) is the rigorous process of ensuring an AI model learns correctly, fairly, and reliably. Unlike traditional software testing, which checks if code works as written, AI QA dives deep into the training data to root out bias, validates a model’s decision making process, and verifies its outputs […]
