What do you think are the top three policy and governance issues that face AI/ML currently? For me the biggest governance issue facing AI/ML ethics is the gap between principles and practice. The hard problem the industry faces is turning good intentions into demonstrably good behaviour. In the last 2.5 years there has been a gold rush of new ethical principles in AI. Since Jan 2017 at least 22 sets of ethical principles have been published, including principles from Google, IBM, Microsoft and Intel.

The big question the blockchain community is only just starting to answer is what will the governance issues look like in the new era? And when most things get to be a smart contract, will they be smart enough? To get an understanding of the future and the big picture, it's helpful to go back to the past when things were barely automated at all. Let's take a look at a worker back in the 70s. In those days, of punch card and cash, you could earn money by working on a car production line, for example.