Ford had to hire back former engineers to fix mistakes made by its automated systems

Ford's automated systems and AI models made production and design errors that required the company to hire experienced technicians, sometimes rehiring former employees, to fix the mistakes. Ford acknowledged that while AI is powerful, it is prone to errors that depend heavily on the quality of training data (the information used to teach AI models how to work).