Machine Learning Bias: Four Types for Your Enterprise fo Consider

As a company that specializes in training AI systems, Alegion knows that models in fact do precisely what they are taught to do. AI models comprise algorithms and data, and they are only as good as their underlying mathematics and the data they are trained on. When things go wrong with AI it's for one of two reasons: either the model of the world at the heart of the AI is flawed, or the algorithm driving the model has been insufficiently or incorrectly trained. AI is far from infallible. Whether it's autonomous vehicle accidents or facial recognition mishaps, it's tempting for the public to think that AI can't be trusted.