Ford Rehires Veteran Engineers to Fix AI Quality Control Failures
Translated from Romanian, summarized and contextualized by DistantNews.
At a glance
- Ford is rehiring veteran engineers, dubbed "gray beard engineers," to retrain AI systems and improve quality control.
- The company spent billions on AI for quality processes but found human expertise essential for identifying and fixing persistent issues.
- This shift has led to a significant improvement in Ford's quality rankings, placing it first in a recent JD Power survey.
Ford is turning back to its experienced engineers, affectionately known as "gray beards," to salvage its quality control processes after relying too heavily on artificial intelligence.
In previous years, we did not pay as much attention as we should have to the experience of our most skilled engineers, who have been with us through many production cycles.
The automotive giant has hired around 350 veteran engineers over the past three years. These experts, including former employees and specialists from suppliers, are tasked with retraining AI algorithms and improving production quality. This move comes after AI systems failed to deliver expected results, costing Ford billions of dollars.
"In previous years, we did not pay as much attention as we should have to the experience of our most skilled engineers, who have been with us through many production cycles," said Charles Poon, Ford's vice president of automotive hardware engineering. The company admitted to over-reliance on automated quality control without sufficient human input.
We were increasingly relying on automated quality systems and not getting the desired results.
"We were increasingly relying on automated quality systems and not getting the desired results," stated Kumar Galhotra, Ford's chief operating officer. "We brought back technical specialists, and they are looking for failure points before a part reaches the factory." Poon added, "Artificial intelligence is a fantastic tool, but it is only as good as the information you use to train it."
We brought back technical specialists, and they are looking for failure points before a part reaches the factory.
These returning experts are not just advising; they are actively reconfiguring AI tools and leading mandatory technical meetings to pinpoint quality issues. Their work aims to prevent errors in the production chain by analyzing potential failure points before parts even enter the factory. This renewed focus on human expertise has demonstrably boosted Ford's performance, propelling it to the top of the latest JD Power Initial Quality Survey, with three models, the F-150, Super Duty, and Mustang, leading their respective segments. This marks a significant turnaround from the previous year, when Ford ranked below the industry average.
Artificial intelligence is a fantastic tool, but it is only as good as the information you use to train it.
Originally published by Adevฤrul in Romanian. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.