How Do You Test AI Systems?

Everyone who has ever worked on an application development project knows that you don't just simply put code and content out in production, to your customers, employees, or stakeholders without first testing it to make sure it's not broken or dead on delivery. Quality Assurance (QA) is such a core part of any technology or business delivery that it's one of the essential components of any development methodology. And the best way to do all this is in an agile fashion, in small, iterative chunks so you make sure to respond to the continuously evolving and changing needs of the customer. Surely AI projects are no different. There are iterative design, development, testing, and delivery phases, as we've discussed in our previous content on AI methodologies.