COMMUNITY CORRESPONDENCE: Jay Stanley, Senior Policy Analyst Speech, Privacy and Technology Program Editor, Free Future blog The American Civil Liberties Union, responds to Teame Zazzu
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"I am especially interested in the state of automated location-trail tracking technology, and it would be great if I could point people to evidence that the state of the art is already advanced."
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RED ROCKS RETREAT: TZ members gather for a day-hike in Red Rocks Park
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- Nature - - Exercises - - -
Once called Garden of the Angels, The park is known for its very large red sandstone outcrops.
MACHINE MULTI-AGENT SYSTEM AS CYBORG MACRO-ORGANISM
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- Surveillance - - WAPS - - JLENS - - Singularity - - Artificial Intelligence - - Machine -
Humans and Machines - robots, computers, software, vehicles, power grids, drones - now form an energy-dependent Cyborg Macro-organism capable of defending itself and propagating. This modern global machine Multi-Agent System engages in a symbiotic relationship with humans to meet the machine challenges of energy demand, fossil fuel dependency, resource-driven conflict and ultimately the further propagation of energy-dependent machines and industrialization.
OPERATIVE TRAINING: With good training, a properly motivated team member can transform into a properly prepared Team Mentor
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- Readiness - - -
Diverse experience overcoming challenges in changing environments requiring adaptability, flexibility, and discipling develops the mental fortitude to be ready for the unexpected.
JLENS = MASS GEOLOCATION TRACKING: While government representatives maintain that JLENS will not collect "any personably identifiable information" and "it cannot track individual people" these assertions do not hold up under closer scrutiny. In fact, JLENS will indefinitely collect geo-location data on every civilian vehicle for hundreds of miles, data that can easily reveal the identity of those being tracked, even without the help of the immersive surveillance sensor networks
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- Surveillance - - JLENS - - WAPS -
Geo-location radar chronographs generated by JLENS are similar to cellphone metadata, in that they can be used to track individuals over time and across great distance. This geo-location metadata is used to form pattern-of-life data and map movements of individuals
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