"The issue of AI accountability is shaping up to be one of this year’s hot topics, ethically and technologically. Recently, researchers at Massachusetts Institute of Technology’s computer science and artificial intelligence laboratory published preliminary work on deep learning neural networks that can not only offer predictions and classifications, but also rationalise their decisions.
Artificial intelligence achieved a lot in 2016. One of the goals in 2017 should be to make its workings more transparent. With plenty riding on it, this could be the year when, to coin a phrase, we begin to take back control."