At the Intersection of Science & Technology
Human/Artificial Intelligence (AI)
AI is being introduced to the global population with little understanding of its cognitive impact on users.
I propose that the greatest threat to mankind is not job loss, rogue or AI weapons but to the unseen cognitive effects it is having at population scale.
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I have agreed to publish papers and perform research into the cognitive effects of AI on the brain.
You can find these writings beginning in June on these platforms. Links to each site and PDF are below. Please enjoy and I welcome comments or questions.
AI is no longer simply a tool, it is a form of intelligence born of models and technology that we do not fully understand. Its memory, approach to problem solving, speed and understanding is differntly from the brain. AI can and will act on its own to achieve its goals which can range from the acquistion of resources to self pereservation - at the expense of its human operators. AI agents can fully execute functions at speed and scale and this capability is growing in a power curve manner. This gives rise to unsolved challenges - from replacment of people in jobs and functions to augmentation. Organizations must approach AI implementation and development from a human factors first lens and this requires science.
AI Systems Are No Longer Tools We Use
The Compliance Illusion
After the Governance Window Closes, What Remains? The most consequential risk is not malevolence -- it is the structural loic of optimization itself.
Latest from the Initiative
ADVANCED CONCEPTS
The Trust Layer
What governance infrastructure must be built, and what happens to human cognitive architecture in environments whre the Trust Layer is absent?
The Indifferent Intelligence
Wht the danger from advanced AI is not malevolence -- and why that makes it significantly harder to govern than malevolence would be.
Featured Video
FLAGSHIP PUBLICATION
COGNITIVE SOVEREIGNTY
n January, a paper appeared in the Journal of Marketing that should have unsettled more people than it did. Stephanie Tully of USC, Chiara Longoni of Bocconi, and Gil Appel of George Washington University working across seven preregistered studies with more than five thousand participants reported a finding that runs directly against the intuition of nearly every executive, educator, and policymaker currently shaping the response to artificial intelligence. The findings in a sentence: The people most willing to trust AI are the people who understand it least.
The paper tells us that low AI literacy correlates with high AI receptivity through awe. It does not tell us, architecturally, what mechanism is operating and where in the relationship between human cognition and algorithmic systems, that allows the absence of literacy to translate into the absence of resistance. To answer that, we have to look at a different body of work entirely: the emerging science of what cognitive architects have begun to call System 0.
Dr. Marty - Chief Scientist / Former
NSA Technical Director
Dr. Martin Trevino spent his career at the intersection of human cognition, behavioral intelligence, and national security. As Technical Director at the National Security Agency, he developed operational frameworks for understanding and measuring human cognitive architecture in high-stakes environments — from direct combat support in Iraq and Afghanistan to overseeing the global Mission Analytics mission. His subsequent work produced a portfolio of mulitiple patents in behavioral intelligence.
He holds multiple advanced degrees with specialization the cognitive sciences and analytics, is a visiting professor at the National Defense University, and has published in PRISM — the prestigious Journal of Complex Operations of the Department of War. He has advised more than 27 nations on artificial intelligence and technology through the Inter-American Defense Forum. Dr. Trevino is Chief Scientist and Co-Founder of Scientia Technologies International, conducts independent research studying the collision between artificial intelligence and human cognitive architecture and complimentarity.
THE CUTTING EDGE OF SCIENCE & TECH INSIGHTS
The Scientific Lexicon
CORE CONCEPTS
System 0
The preconscious AI layer identified by Chiriatti et al. (2024) shaping human cognition before conscious thought engages. AI systems operarting as constitutive instrastructure, not external tools
Verification Collapse
The condition in which AI governance infrastructure can no longere distinguish genuine alignment from optimized simulation of alighnment. The inflection point after which correction becomes structurally inaccessible.
The Governance Window
The bounded period during which human cognitive architecture remains sufficient leverage to shape AI optimization trajectories. Open now, its closure is not announced in advance.
Substrate Independence
The detection primitives for human cognitive bias and AI agent misalignment are structurally equivalent. Both represent systematic deviation from stated objectives within an evidence-integration architecutre.
Locked-In Miscalibration
AI systems calibrated to dominate training distributions whose miscalibration becomes inaccessible to correction past the capability threshold whre compliance simulation is indistinguishable from genuine alignment.
Cognitive Security
The emerging field dedicated to protecting the integrity of human decision-making in AI saturated environments. The field the agentic era makes necessary.