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Human beings are flawed creatures to begin with; just because there is a consensus for how to go about doing something does not necessarily mean that it is right. Look at the Salem witch trials. At the time, it was the consensus of the majority that women who were deemed to be partaking in witchcraft be burned at the stake to protect the rest in the village. If the goal of AI is to have autonomous robots that function completely independently of a user that take new information and learn from it, how do we instill ethics into it?

The Institute of Electrical and Electronic Engineers (IEEEs) has attempted to overcome this barrier by listening to as many voices in AI as possible and unifying them. The IEEE's Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems considers various voices, communities, and school of thoughts and then translates this into education and training. IEEE strives to “prioritize ethical considerations in the design and development of autonomous and intelligent system” [1]. However, is that enough? Rigby does not believe so. In fact, he believes that “current policy and ethical guidelines for AI technology are lagging behind the progress AI has made in the healthcare field” [2]. When we use Moore's law to view the pace of technological innovation, we see that every 18–24 months the ability of technology basically doubles. This pace cannot be matched by those who implement public policy or guidelines. The result is that new technology and innovation is being implemented ethically agnostic or ethically askew, or somewhere in between, there is no standard.