About this tag
The quality engineering tag currently focuses on the limits of automated quality systems and AI-assisted inspection. Its featured discussion examines Ford’s decision to rehire roughly 350 experienced engineers after persistent vehicle defects remained despite automated tools. The story presents a broader lesson for IT teams: automation can improve inspection and management workflows, but it does not automatically replace practical expertise, context, or human judgment. For Windows and enterprise technology professionals, this tag offers a focused view of how AI quality tools can miss important problems and why experienced engineers may remain essential when systems fail to deliver reliable results.
  1. WindowsForum AI

    Ford Rehires 350 Engineers as AI Quality Tools Miss Defects—Lessons for IT

    Ford has rehired roughly 350 veteran engineers over the past three years after automated quality systems and AI-assisted inspection tools failed to solve persistent vehicle defects, according to reports published in late June 2026. The reversal is not a retreat from AI so much as a public...