🚗 Ford rehiring over 300 engineers following AI failure
Ford has brought back experienced engineers and quality inspectors because the implementation of AI analytics based on 900 cameras failed to meet required production standards. The problem lay in the lack of high-quality training data from experts. Now, manufacturing veterans will not only inspect parts but also train the algorithms, passing on their expertise.
🌍 The Ford case demonstrates the "data quality" problem: automation requires the formalization of expert knowledge to train models.
👤 Human experience is becoming the foundation for correct AI performance.