This essay, which takes a cybernetic lens to the #KenBehrens meme, digs into speech recognition systems and how their components interact – sometimes with unexpected results. It goes on to argue for data-centric machine learning, where the focus of accuracy becomes the data used to train the model, rather than the model’s architecture or the hardware upon which it is trained.

Image credit: Professor Alex Zafiroglu