Bias and fairness testing is a technique needed to test generative AI applications. It's goal is to check if the outputs of AI models is free from stereotypes, bias and discrimitory language. By doing bias and fairness tests while developing a generative AI application we ensure treats diverse inputs equitably and inclusively.
Bias and fairness testing
29th May 2026
BearQ continuously tests your app, reducing test maintenance and uncovering gaps scripted tests can miss.
Explore MoT
Tue, 19 Jan 2027
Test Forward is one afternoon at Station F with the QA and engineering people closing that gap in their own teams.
Boost your career in software testing with the MoT Software Testing Essentials Certificate. Learn essential skills, from basic testing techniques to advanced risk analysis, crafted by industry experts.
Debrief the week in Quality via a community radio show hosted by Simon Tomes and members of the community
