When Artificial Intelligence is deployed in the real world, it often fails. Research Scientist Fábio Kepler writes about AI uncertainty, and why we should care.
Machine learning systems are what they eat. Since the training data for NLP problems is human language, these models have a tendency to perpetuate our own biases. How can we build better algorithms?
