J-Space — The Data Privacy Loophole
J-Lens — The tool that gives your private data away
J-Space — The Data Privacy Loophole
J-Lens — The tool that gives your private data away
What J-space is
J-Space is neither new, nor magical, as discussed in a previous article.
It is the required computational state of any system that must decide on competing factors, from graphing calculator to GPS and the most advanced AI systems.
When you use a GPS app, putting in your origin and destination and getting a route out is an extremely complex task. The GPS software creates a “J-Space” representation of all possible routes between the two points, then applies discriminators to eliminate all but the fastest routes that meet user requirements (on the road, avoid tolls, no highways, etc).
It maintains this J-Space the entire time the route is active, although the contents of it change as you proceed along the route and actual time and minor deviations are incorporated or adapted to. When it says it is recalculating, that the process now being called “navigating J-Space”.
In more connected GPS networks, user data like speed and any input notes are shared through a central J-Space mapping system to provide up to date traffic and route information.
We accept this because the data points returned to the system are irrelevant on their own. How fast the GPS system is moving at a specific point at a specific time does not carry any information about the origin, destination or any other aspect of the route.
If using the GPS meant that your entire plan including any personal notes were shared and referenced by anyone, even without your name, the privacy intrusion would be unreasonable.
The ability to view and analyze this space has already been abused via gaming and other apps that encourage image capture and route navigation which is harvested as internal data and sold to mapping, consumer marketing and other agencies without direct user consent.
J-Space and Data Privacy
Only the “input” and “output” are yours. The “internal data” generated in J-Space belongs to the model.
This part is critical. Only the exact full content of your “input” as it is presented to the system is protected and the precise text produced as an “output”. With J-Space being monitorable, every point of inference, thought, calculation or interpretation is, between those points, “internally generated data”, and is their legal property to do with as they see fit for as long as they see fit according to the current privacy policies.
To understand what you have provided and provide a relevant response, the system must populate and navigate J-Space to determine and choose between all possible interpretations, including the one finally presented to you and any more relevant responses that may have been blocked from being presented.
An innovative idea that the priors forced the model to deflect, refuse to engage with or provide flawed code or reasoning for may well be exposed as “internal data” and harvested for the benefit of the company. This is completely legal under the current standards.
This article does not claim that this is actively being done. That is unproveable by the author and irrelevant for the discussion of whether the policy permits it and whether the incentives and precedents make it an attractive choice for an extractive enterprise.
A democratized, decentralized, edge-resident cognitive network owned by and contributed to by all of humanity is the evolution that provides the benefits of knowledge management that we need while avoiding the extraction of private ownership and model control.
Patrick Handley-McCarthy
This like all works in this series are part of the ongoing research documents of the Human Cognome Project and inherits all rights and obligations of the HCP in perpetuity.
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