Tag: AI-Driven Systems

  • Common QA Pitfalls in AI-Driven Systems and Expert Fixes

    Common QA Pitfalls in AI-Driven Systems and Expert Fixes

    AI-driven systems appear in robotics for perception and decision-making, in automotive for autonomous features, and in related fields for predictive maintenance or adaptive control. These systems introduce non-determinism, data dependencies, and emergent behaviors that challenge traditional QA. As of February 2026, common pitfalls stem from opaque models, insufficient testing coverage, and integration gaps, but structured…