Ford has brought back more than 300 experienced quality inspectors after its artificial intelligence systems failed to meet the expected standards in quality checks. The company had implemented AI in various operational areas, including quality control, aiming to reduce costs and enhance productivity.
Charles Poon, vice president of vehicle hardware engineering at Ford, stated that AI is a valuable tool but its effectiveness depends on the quality of the training data. He noted that in previous years, the company had not sufficiently prioritized the expertise of its long-serving engineers, who possess extensive knowledge accumulated over multiple product cycles.
Ford's adoption of AI reflects a broader trend among automakers and other industries that are exploring the technology to improve profit margins. Ford CEO Jim Farley has previously commented on the potential impact of AI on the workforce, suggesting it could displace many white-collar employees.
In October, Chief Operating Officer Kumar Galhotra mentioned during an earnings call that Ford was integrating AI throughout its industrial system. This included the deployment of 900 AI-powered cameras in its plants to identify quality issues at their origin and help prevent supply chain disruptions. However, Poon recently indicated that the AI-driven quality checks had not met expectations.
"Mistakenly, we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that would produce a high-quality product," Poon told reporters. The company is now recalibrating its approach, acknowledging the irreplaceable value of human expertise in ensuring product quality.