We expect our access to use outside information to be a simple affair. We know we need specific information … we know someone is collecting or generating it … we know someone is processing it … we know someone is transmitting it to us … we expect it to be perfect. But that is where everything breaks down because each of us comes up with a different conclusion (using similar information). One reason is related to the Qualia argument [1] that “all of our sensors are calibrated to ourselves and that we interpret inputs differently”. There is a quantization-like error, or noise, in all of the inputs we take in that corrupts, or alters, the results of our internal processes. Another reason is that the information we are consuming is corrupted, either unintentionally or intentionally, somewhere between its conception and processing to a final result. Both of these reasons are related to Trust. However, Trust means something different to everyone. The question becomes “how do we measure Trust so we know how the information we want to use will affect the results”? The Autonomic Trusted Sensing for Persistent Intelligence (ATSPI) Technology Office is following a scientific approach to understand, assess, and react to Trust measurements.
['John H. Erickson']
Trust metrics