Why don’t we test machine learning like we test software?

Daniel Angelov
Jun 24, 2021

The sheer complexity of problems we are trying to solve with AI means that more often than not we start hitting limitations of the systems. Having the ability to proactively examine how well the system covers the expected operational domain is invaluable in knowing the risk an organization takes with that system.

You can read more about our strategy on using software testing ideology, expanding and applying it to Machine Learning systems in our featured Towards Data Science article.