The vast majority of people building analytics and data science processes have every intention of being good and ethical. As a result, most potentially unethical and evil processes arise in situations where that wasn’t the intention. The problem is typically that proper focus and governance is not in place to keep analytics and data science processes on the side of good. On top of that, what is good and what is evil isn’t nearly as clear cut as we’d wish it to be.
There Are No Absolutes with Ethics in General
Ideally, what is good and ethical would be clear. Unfortunately, things are rarely totally clear in the real world. Let’s start by considering an ethical guideline that has likely been accepted by every culture over human history. Namely, the guideline that we should not kill another person.
It is almost unanimous that killing people is evil and unethical. However, nearly everyone will hedge their commitment to not killing others in multiple ways.
Is it ok to kill someone in self-defence if you are about to be killed by them?
Most, but not all, people will say yes.
Is it ok for a soldier to kill an enemy soldier on a battlefield during a war?
Most, but ...
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