The Role of QA Engineers in Quality Assurance of AI-enabled Systems and Applications

Artificial intelligence has become an integral part of many modern systems and applications, including recommendation systems, natural language processing, computer vision, and more.

The use of AI presents new challenges for QA engineers. For instance, testing machine learning models requires an understanding of how they function and the ability to identify issues that may arise during data analysis and decision-making by these models. The opacity of neural networks and complex algorithms makes this task particularly challenging.