The Great Reset: The final assault on the living planet

The Great Reset: The Final Assault on the Living Planet [It’s Not a Social Dilemma – It’s the Calculated Destruction of the Social, Part III]

By Cory Morningstar
Wrong Kind of Green
Nov 28, 2020

Part three. This is the final segment of a three-part investigative series. [Part 1] [Part 2]

Artificial intelligence, Automation – & Cyberwarfare

Announced at the Global Inclusive Growth Summit on October 21, 2019, the Imperative 21 RESET campaign was launched to the public on September 13, 2020. A front campaign of The Business Roundtable, the six founding coalition partners are The B Team, JUST Capital, B Lab, Chief Executives for Corporate Purpose (CECP), Inclusive Capitalism and Conscious Capitalism. [Further reading: The Business Roundtable/CURT a Systematic Destruction of Labor]

“It’s an unprecedented coalition of business networks that have come together to raise our ambition. Not just to help our individual CEOs succeed, we’ll do that for sure. But to actually bring their voices together to help shift culture. So that the pushback on the BRT [Business Roundtable] from different business publications or other people within the business community lessens. So there’s less of a headwind culturally for this type of leadership.”

— Jay Coen Gilbert, co-founder of B Lab and B Corporations [Source]

Artificial Intelligence (AI) is described as, “systems that combine sophisticated hardware and software with elaborate databases and knowledge-based processing models to demonstrate characteristics of effective human decision making.” [Source] The World Economic Forum recognizes AI as “the engine of the Fourth Industrial Revolution”. [Source] AI as applied/ utilized by social media platforms is trained with an objective and exploitative function: target users with ads for maximum ad revenue, by highlighting the newsfeed ensuring users remain on the platform for as many hours, minutes and seconds as possible. This function is highlighted by The Social Dilemma, while, ultimately, the sole function of every corporation, that of increasing revenues and maximizing profits – ad infinitum, is kept opaque.

Any technology that has power can be corrupted. In this respect, AI is perhaps the most dangerous. Hacking (PC, mobiles, viruses) is accomplished by injecting code – code that can be then detected. Deep learning, referred to as artificial intelligence, is a giant array of numbers. The AI models are self-modifying on a continuous basis, thus, it is unknown how hacking AI can – or will – be aptly detected. [Source: October 5, 2018, The Artificial Intelligence Race and the New World, Order, Council on Foreign Relations – The Malcolm and Carolyn Wiener Lecture on Science and Technology]. “Imagine tens of millions of numbers in the deep learning algorithm that’s updating itself anyway, because it’s getting more data, retraining itself. Some bad people just tweak a few numbers and all of a sudden, it might be out of control.” [Source] Meaning, for example, a hacker may succeed in turning autonomous vehicles into autonomous weapons that kill people en masse. Imagine fully autonomous nuclear weapons or autonomous nuclear power plants, the hacking of which – or malfunction of – could result in the annihilation of an entire nation, or the entire planet.

Here again, it is more important what both The Social Dilemma and the Center for Humane Technology do not divulge, rather than what they do. The Fourth Industrial Revolution cannot come into fruition without the 5G infrastructure that will run the Internet of Things. “Smart” cities must be understood within the context of global policing and the military industrial complex. Cybersecurity will be the battle space of the 21st century.

“The potential for nuclear escalation in a conventional conflict with autonomous systems is compounded by the way that autonomous systems could enable adopters to fight faster than those operating non-autonomous systems do at present… A military force that is heavily invested in AI could essentially enable faster operations by autonomous systems relative to remotely-piloted or inhabited systems. Some Chinese scholars have hypothesized that this trend could result in a “battlefield singularity,” in which the pace of action on the battlefield eclipses the speed of human decision-making.” [Source]

Remarks to the Association of the U.S. Army Annual Convention, October 4, 2016, as Delivered by Deputy Secretary of Defense Bob Work, Washington, D.C.:

Q: “You didn’t mention about autonomous systems. In light of the third off-set strategy, what is your thinking about letting in the future autonomous systems make lethality decisions without a human in the loop?”

A: “I purposely didn’t talk a lot about the technology behind the third off-set because in a audience like this, you get that the most important thing is the operational concepts and the organizational constructs that employ that technology. But let me state this, state it this way. There will be some instances where operations are happening at machine speeds and we will have to rely upon A.I. and autonomy to actually fight.” [Source]

Automation bias is when humans effectively surrender their judgment to machines:

“Of particular concern in the design of intelligent decision support systems is the human tendency toward automation bias, which occurs when a human decision maker disregards or does not search for contradictory information in light of a computer-generated solution which is accepted as correct. Operators are likely to turn over decision processes to automation as much as possible due to a cognitive conservation phenomenon and teams of people, as well as individuals, are susceptible to automation bias.” [Further reading:

Automation Bias in Intelligent Time Critical Decision Support System, AIAA 1st Intelligent Systems Technical Conference, 20-22 September, 2004]

To fully comprehend this risk, a cognitive conservation phenomenon, one must contemplate the Stanislav Petrov incident. In 1983, the satellite-based Soviet Oko nuclear early warning system detected that an intercontinental ballistic nuclear missile had been launched by the United States. The automated system reported, with the “highest” confidence, that a U.S. missile strike was underway. Lieutenant Colonel Stanislav Petrov, on duty, was responsible for alerting his Soviet superiors of the attack. The siren sounded while a large screen instructed “launch” in bold red letters. The siren continued to sound as the computer identified a secondary, third, fourth and fifth missile launch, changing its instruction from “launch” to “missile strike.” Doubting the accuracy of the computer system, Petrov did not react with counter missiles, later explaining “I had a funny feeling in my gut”. He resisted falling victim to automation bias and reported a system malfunction to his superiors, rather than responding with a counter strike. Rather than launching a nuclear war. Rather than ceding his own judgment to a machine. If this had of been a fully autonomous system, as desired by global technocrats, the counter strike would have been automatic, likely unimpeded by human intervention.

[In his own words: Ex-Soviet officer Stanislav Petrov reported a possible 1983 US missile launch as a false alarm: https://www.youtube.com/watch?v=L7EmLf4Xlq0]

In 2003, U.S. army investigators found that automation bias was pervasive within the “Patriot community”, which espoused a culture of “trusting the system without question”. “Patriot operators” exhibited an “unwarranted and uncritical trust in automation. In essence, control responsibility [was] ceded to the machine.” [Source]

“The more a country fears that, in a world without using autonomous systems, its ability to retaliate to a nuclear strike would be at risk, the more attractive autonomous systems may appear.”

— A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence, December 2019

6G promises increased bio-cybernetic identity (identity critical service architecture, sensing based machine learning, distribution of trust) and cyber security. Now consider activity that is deemed criminal by larger society. Rather than obtaining physical keys and/or passwords to acquire access, one will require biometric access. That is, heads (face recognition), eyes (retina scanning), and/or hands.

The AI arms race between China and the US is already well underway (with China having launched its blockchain in April 2020, for global commercial use). The idea that regulation and safeguards cab be applied to AI, ensuring both privacy and data are protected, borders on the edge of a collective psychosis. Such are the lies we tell ourselves in order to sleep at night.
“The Fourth Industrial Revolution and Its Impact on Occupational Health and Safety, Worker’s Compensation and Labor Conditions”, September, 2019:

“In FIR [fourth industrial revolution], nonstandard employment will be common. As a result, it is difficult to receive OHS services and compensation. Excessive trust in new technologies can lead to large-scale or new forms of accidents. Global business networks will cause destruction of workers’ biorhythms, some cancers, overwork, and task complexity. The social disconnection because of an independent work will be a risk for worker’s mental health. The union bonds will weaken, and it will be difficult to apply standardized OHS regulations to multinational enterprises.”

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The Great Reset: The final assault on the living planet - last of a three-part series