This is a thoughtful piece that explores some of the fundamental ethical and legal issues surrounding the use of algorithms and the data they feed on. 

Those issues simply haven't arisen in the same way with established technologies, so the past doesn't offer a useful precedent. As the article points out, the provenance, ownership, accuracy and fairness of the data used to train AI systems are of as much concern as the algorithms themselves. By addressing the ethical issues now, users could minimise legal problems later on.