It’s needless to say: machine learning is powerful.

At the most basic level, machine learning algorithms can be used to classify things. Given a collection of cute animal pictures, a classifier can separate the pictures into buckets of ‘dog’ and ‘not a dog’. Given data about customer restaurant preferences, a classifier can predict what restaurant a user goes to next.

However, the role of humans is overlooked in the technology. It does not matter how powerful a machine learning model is if one does not use it. With so little explanation or reasoning as to how these algorithms made their predictions, if users do not trust a model or a prediction, they will not use it.

“If the users do not trust a model or a prediction, they will not use it.”

As machine learning becomes deployed in even more domains, such as medical diagnosis and recidivism, the decisions these models make can have incredible consequences. Thus, it is of utmost importance to understand and explain how their predictions came to be, which then builds trust.

#data-science #ai #machine-learning #artificial-intelligence #explainable-ai