Artificial intelligence is increasingly being rolled out all around the world to help make decisions in our lives, whether it’s loan decisions by banks, medical diagnoses, or US law enforcement predicting a criminal’s likelihood of re-offending.
Yet many AI systems are black boxes: no one understands how they work. This has led to a demand for “explainable AI”, so we can understand why an AI model yielded a specific output, and what biases may have played a role.
