In a bid to enhance vehicle quality and reduce warranty costs, Ford turned to artificial intelligence, only to discover that the technology's limitations necessitated the rehiring of 350 engineers to rectify the issues it created. The company's vice president of vehicle hardware engineering, Charles Poon, revealed that the departure of experienced employees before their knowledge could be transferred to AI systems led to a decline in quality. To address this gap, Ford brought back seasoned engineers to retrain the AI models and improve data collection methods. Poon acknowledged that the company's initial assumption - that introducing AI would automatically yield high-quality products - was flawed. Despite these setbacks, AI remains a vital component in Ford's quality control process, with over 100,000 AI-powered tests conducted to identify potential issues. The company has shifted its approach from a 'find and fix' philosophy to a preventative one, with software and digital teams collaborating closely with engineering, manufacturing, and supply chain groups to detect problems before they occur. This change in mentality has led to the establishment of a software quality assurance team and a more rigorous approach to software reliability. While Ford still faces challenges, its warranty costs and recall rate are declining, demonstrating the importance of striking a balance between technological innovation and human expertise in the pursuit of quality control.

Source: Carscoops