How To Create Trust In Artificial Intelligence Using Open Source - Liwaiwai

Opening up the "black box" helps remove uncertainties about AI outcomes, providing insight into the modeling process and identifying biases and errors. Artificial intelligence (AI) is being used more frequently in our daily lives, with systems such as Siri and Alexa becoming commonplace in many households. Many households themselves are "smart," powered by devices that can control your lights, heating and air, and even the music playing. And those music players are powered by AI that recommends songs and artists you may like. However, these systems are often referred to as "black box" systems because we do not know how the data is processed--how do the users know why the model has made that prediction?