Can We Make Artificial Intelligence Accountable?

Whether the visualizations provided by the bias-detection software will be enough to understand and more importantly explain a complex deep learning AI algorithm remains to be seen, as it has so far been impossible to understand how AI systems reach decisions. This is therefore a big claim from IBM, as only last year Tommi Jaakkola, an MIT professor working on applications of Machine Learning, said: 'If you had a very small neural network, you might be able to understand it, but once it becomes very large, and it has thousands of units per layer and maybe hundreds of layers, then it becomes quite un-understandable.' The problem is not only that we can't see what deep learning algorithms are doing, but we also can't understand their workings, so will IBM's visualization software solve anything?