"AI-driven software testing offers efficiency and cost-effectiveness, but also raises ethical concerns such as bias, fairness, transparency, and data privacy. Experts stress the importance of diverse data sets, bias audits, inclusive design, explainable AI, documentation, human oversight, data anonymization, and compliance with regulations to ensure responsible usage."

Source: https://dev.to/anil_csimplifyit_905c/ethical-considerations-in-ai-driven-software-testing-3ile