Red teaming the most powerful and wealthiest nation in human history,
by weaponizing time and imagination, to protect, defend, and secure the USA
Weaponizing Artificial Intelligence Team (WAIT)
Nat3A is weaponizing
artificial intelligence, machine learning, deep learning, and soon even quantum.
The National Alternative Analysis Association (Nat3A) is committed to promoting
alternative analysis (AA) or red teaming (RT) as an academic field, a profession, and an industry.
AA/RT is a widely-accepted facet of the security and defense industries, and is specifically mentioned in the Intelligence Reform and Terrorism Prevention Act of 2004 (IRTPA).
FAQs about WAIT
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What is Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?
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What is Nat3A's Weaponizing Artificial Intelligence Team (WAIT)?
Artificial Intelligence "refers to the ability of machines to perform tasks that normally require human intelligence.”
Rather than having their knowledge be provided by humans in the form of hand-programmed rules, Machine Learning systems generate their own rules. For Machine Learning systems, humans provide the system training data. By running a human generated algorithm on the training dataset, the Machine Learning system generates the rules such that it can receive input x and provide correct output y. In other words, the system learns from examples (training data), rather than being explicitly programmed.
Deep Learning (Deep Neural Networks) is a powerful Machine Learning technique that can be applied to any of the four families (below):
1) Supervised Learning uses example data that has been labeled by human “supervisors.” Supervised Learning has incredible performance, but getting sufficient labeled data can be difficult, time-consuming, and expensive.
2) Unsupervised Learning uses data but doesn’t require labels for the data. It has lower performance than Supervised Learning for many applications, but it can also be used to tackle problems where Supervised Learning isn’t viable.
3) Semi-Supervised Learning uses both labeled and unlabeled data and has a mix of the pros and cons of Supervised and Unsupervised learning.
4) Reinforcement Learning has autonomous AI agents that gather their own data and improve based on their trial and error interaction with the environment. It shows a lot of promise in basic research, but so far Reinforcement Learning has been harder to use in the real world. Regardless, technology firms have many noteworthy, real-world success stories.
Source: Allen, G. (2020). Understanding AI Technology. https://www.ai.mil/docs/Understanding%20AI%20Technology.pdf
NOTE: The definitions above are for educational purposes only.
Mr. Allen and the US Military are not associated with Nat3A.
To use AI, ML, and/or DL against the United States of America, you have to understand the intelligence of Americans and their allies.
You also need to comprehend and control the knowledge so far accumulated, and continuously being amassed, by the U.S. Library of Congress -- the largest body of knowledge in human history.
Don't forget to include the Library of Humanity -- aka all the libraries around the world -- with your research.
If you think using AI, ML, and/or DL against America is overwhelming, then weaponizing AI, ML, DL against America will NOT be
your cup of tea.
Nobody said Red Teaming or Alternative Analysis would be easy.
Since 1776, several nations and their allies have tried to destroy the most successful socio-political, and wealthiest economic, experiment in human history.
Many have tried, but none have succeeded, so far.
Maybe its our turn.
America runs on intelligence, learning, educating, building, innovating, creating, imagining, discovering, alternative analyzing, and hoarding information.
America has this compelling urge to be the most intellectual nation, population, society, and government the Earth has ever seen.
Therefore, to weaponize AI, ML, DL, all you have to do is to match or surpass the intelligence, learning, educating, building, innovating, creating, imagining, discovering, alternative analyzing, and hoarding of information capabilities of the United States.
No person or group, state or non-state actor has so far proven they can overcome America.
In other words, you CANNOT be a simpleton when you wage WARs against the United States, and Red Team America's AI, ML, DL systems.
The Weaponizing Artificial Intelligence Teams (WAITs) of Nat3A are composed of students and alumni of the Henley-Putnam School of Strategic Security of the National American University, students and faculty from other colleges and universities, and independent researchers all over the 50 United States, and from some locations in Canada, Europe, and Asia.
WAITs DO NOT assume that Nat3A, its members, and team are more intellectual, learned, informed, and educated than the United States.
The most that WAITs can do, at present, is to match some members and groups of the US military and intelligence community, and the nation's allies from all the continents on the planet.
WAITs pursue Red Team exercises against the AI, ML, DL capabilities of the
Rim of the Pacific Nations (RIMPAC),
Five Eyes (USA, Canada, United Kingdom, Australia, and New Zealand).
On brighter days, WAITs get to Red Team and tussle with counterparts in NATO.
To join Nat3A's WAIT, please click on the
"Join Nat3A's Weaponizing Artificial Intelligence Team" button.
Looking forward to Weaponizing Artificial Intelligence, Machine Learning,
and Deep Learning with you.
Criminal Applications of
Artificial Intelligence
Machine Learning,
Deep Learning, and Quantum Computing
Is it Counter-Artificial Intelligence or Artificial-Counter-Intelligence?
How to Really Destroy an American City
You can't Nagasaki New York, nor can you Hiroshima Houston in a civilization of builders.
U.S. Secret Service Advance Planning, Analytics Software,
& Artificial Intelligence
Will the United States Secret Service and the Federal Protective Service be ready against weaponized analytics software and weaponized artificial intelligence?
