Testing AI for Bias: What We Have Learned
As organizations increasingly rely on AI to power their products and services, addressing bias is now a critical responsibility for quality and engineering leaders.
Moving past technical checks, companies need to embrace thorough testing practices that show how AI really performs for users of all backgrounds. In his latest article, Hemraj Bedassee, Delivery Excellence Practitioner at Testlio, offers practical, real-world guidance on why uncovering and addressing bias should matter to every technology leader. You’ll get actionable ideas for going deeper than standard tests, staying ahead of regulatory changes, and building AI that truly treats every user fairly.