5 principles to eliminate bias in artificial intelligence programs

Today, algorithms that are used to make predictions are everywhere. Netflix recommends new movies and shows based on what you've previously watched, Spotify creates playlists with songs similar to what you've been playing on repeat, and retail brands spam your email with items that can be worn with the new jacket you just ordered. The assumption today is, "with enough data, anything is predictable." However, over the last few years, news headlines have repeatedly illustrated the influence that such algorithms can have on human well-being, along with the inherent biases that affect many of them. With this in mind, before rushing to embrace artificial intelligence (AI) algorithms, it's crucial that we ensure they promote justice and fairness rather than reinforcing already existing inequalities.