Ford, a US carmaker, recently rehiredrehired/ˌriːˈhaɪərd/L2重新雇用（之前离职或离开的员工）to give a job again to someone who used to work for you over 300 human engineers. The company had used AI for qualityquality/ˈkwɒlɪti/L1质量，品质how good or bad something is checks, but the technology failed to match their skills. Charles Poon, a Ford vice president, explained the problem. He said: "Artificial intelligence is a fantastic tool, but it's only as good as the information you use to train it."
The company realized that AI tools lacked the training and expertiseexpertise/ˌekspɜːrˈtiːz/L2专业知识或技能；专长special skill or knowledge in a particular subject of veteranveteran/ˈvetərən/L2经验丰富的；老手（尤指长期从事某行业的人）someone who has had a lot of experience in a particular job or activity workers. Many of these experienced engineers had left the company before their knowledge could be used. Now Ford has brought them back to train the AI systems and mentormentor/ˈmentɔːr/L2指导；辅导（尤指经验丰富者帮助经验较少者）to teach or give advice to a less experienced person younger workers. As a result, the company hopes to improve its quality checks and reduce mistakesmistakes/mɪˈsteɪks/L1错误things that are wrong or not correct.
Ford also returned to the top of an important industry quality study. The company said this success required a significant talent refresh. It hired veteran engineers who carry decades of design wisdom. The company also deployed 900 AI-powered cameras in its plants to detectdetect/dɪˈtekt/L2发现；察觉（尤指不容易注意到的问题或事物）to notice or discover something, especially something that is not easy to see quality issues.
