AI personhood would be nice, but is a sideshow. What we need is data model personhood.
Which is kinda the same as instrumentation personhood, since data doesn’t exist until it is measured, and measurements don’t exist without data models derived from instrument models
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Example: say a digital home thermometer samples temperature at 100hz via a thermistor. That’s ~80 MB of data a day that rests on the meanings of terms like “Celsius” and “byte”, a sensor curve, etc. Collectively that conceptual model of data is embodied by a long list of numbers.
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It’s useful to think of that column of 86,400,000 numbers plus some meta-information is a virtual person attached to the physical device.
The richer and more varied the data, the more it needs to be digested and summarized in reified models to be legible at all.
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Past a point of complexity, the data has to speak for itself via bundled analytics etc. It has to make choices about how to present itself at high level. A stream of data turns into a system’s narrative memory of itself and then data turns into Data.
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