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The popular scenario has AI deploying autonomous killer military robots as storm troopers. The mission of DARPA is to create the cutting edge of weaponized technology. So when a report contends that the Pentagon now using Jade Helm exercises to teach Skynet how to kill humans, it is not simply a screenplay for a Hollywood blockbuster.
“Simply AI quantum computing technology that can produce the holographic battle simulations and, in addition, “has the ability to use vast amounts of data being collected on the human domain to generate human terrain systems in geographic population centric locations” as a means of identifying and eliminating targets – insurgents, rebels or “whatever labels that can be flagged as targets in a Global Information Grid for Network Centric Warfare environments.”
Assessment - Steven - Walker - Director - Defense
While this assessment may alarm the most fearful, Steven Walker, director of the Defense Advanced Research Projects Agency in DARPA: Next-generation artificial intelligence in the works, presents a far more sedated viewpoint.
“Walker described the current generation of AI as its “second wave,” which has led to breakthroughs like autonomous vehicles. By comparison, “first wave” applications, like tax preparation software, follow simple logic rules and are widely used in consumer technology.
AI - Technology - Example - Use - Spectrum
While second-wave AI technology has the potential to, for example, control the use of the electromagnetic spectrum on the battlefield, Walker said the tools aren’t flexible enough to adapt to new inputs.
The third wave of AI will rely on contextual adaptation — having a computer or machine understand the context of the environment it’s working in, and being able to learn and adapt based on changes in that environment.”
XAI - Model - Play - Publication - Janes
Here is where the XAI model comes into play. The authoritative publication Janes states that DARPA’s XAI seeks explanations from autonomous systems. “According to DARPA, XAI aims to “produce more explainable models, while maintaining a high level of learning...
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