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Ford rehires veteran engineers after AI quality tools fell short

BBC News

Ford has brought back roughly 350 veteran engineers over the past three years — many former employees or staff from suppliers — to mentor younger workers and retrain automated quality systems that were not catching design flaws, the BBC reported , drawing on Bloomberg’s account . Experienced engineers had left before their judgment could be encoded into the tools meant to replace them, so the systems amplified weak inputs rather than flagging problems — quality failures Ford says cost it billions.

The returning engineers were put to work rebuilding the data pipelines that feed Ford’s AI training and refining the tools themselves. The effort appears to have helped: Ford ranked as the top mainstream brand in the latest J.D. Power initial-quality survey. The caveat is that the company has also led U.S. automakers in recalls this year, issuing 51 covering more than 11 million vehicles — more than double the next-closest manufacturer.

The episode is a concrete data point on the limits of automating expert work. The models were only as good as the institutional knowledge behind them, and once that walked out the door, replacing it required hiring the very people the automation was meant to displace.

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