Explicable Artificial Intelligence (XAI) and testing: approaches, benefits and challenges

XAI provides transparency and insight into the operation of machine learning models. This allows testers to better understand how the model makes decisions, which makes it easier to identify potential problems and errors.

This talk aims to expand understanding of the role of XAI in the field of testing and highlight its key importance for achieving a higher level of reliability and transparency in the field of artificial intelligence.