When data collection doesn’t represent the real world, ML systems fail. Facial recognition technology has been criticised for performing poorly on people with darker skin tones because the training datasets had far fewer images of diverse individuals. The consequences of bad data quality and consistency, can be anything from annoying inefficiencies - to dangerous misjudgments. (Screenshot from Avant's Data Visualisation Interface" - Even basic infrastructure data can become c
