Data ethics weighs privacy against convenience: Which is worth more? When? Why?
The experience of data ethics is nervousness about personal information escaping our control. Equally, it's satisfactions facilitated by information algorithms. Finally, it’s a sense of anxiety about how much of ourselves we should give up for the conveniences of digital reality.
Examples:
Underneath each exchange runs a dilemma between protecting our identity, and satisfying our desires. Privacy versus convenience is a split between who we are and what we want.
Data ethics centers on consumers and marketing because that's where the trade of personal information for convenience is most direct. Then data ethics extends as the concept of algorithmic capitalism: it happens everywhere individuals and their desires interact with churning big data and money.
The fundamental questions are perennial, but subject to reconfiguration by emergent technologies:
The most efficient way to test an algebraic equation is by checking the extremes. That means plugging in 0, 1, -1, ∞, - ∞. Then you plug in an extremely unexceptional number, like 6, and if the equation works for all those, it should be good.
Philosophy and ethics rarely achieve the elegant simplicity of numbers, but the strategy of extreme cases typically provides insight. In the field of data ethics, some questions on the edge:
Data ethics is about individuals. The concerns are personal – even about what it means to be a person – and the decisions are singular: what works for one may not function for another.
Data politics is about societies; it investigates how collectives manage information for the general welfare, and it seeks to implement binding rules with either rational justification, or psychological techniques of persuasion.
Data ethics is about individuals in society; data politics is about societies that contain individuals. There is some overlap.
The historical context of data ethics is emergent technologies gathering and processing personal information at rates surpassing human comprehension: the numbers measuring us, the words describing us, and the desires impelling us are increasingly stripped away, then digitized, organized, and applied to our lives.
Data ethics begins when the volume and velocity of applied personal information exceeds imagination, and consequently jeopardizes the traditional philosophical and ethical models for evaluating privacy, identity, desire, convenience, and pleasure.