Is AI a Project of Domination? Miguel Nicolelis on AI, Relativistic Neuroscience & Human Intelligence

 It is often imagined as a kind of ‘greatest leap’ that humanity has achieved in technology—as an engine of efficiency, innovation, and progress. However, not all people have that same optimistic hope and vision about AI. Some of the most articulate critics of AI are people like Miguel Nicolelis, a world-renowned neuroscientist who is best known for his contributions to the fields of brain-machine interfaces and ‘large scale neural systems’. AI, according to Nicolelis, is ‘less a tool and more a project of domination’.

In addition to his criticism of artificial intelligence, Nicolelis proposes the scientific and philosophical framework of relativistic neuroscience and relativistic biology, which, he argues, distinguishes mankind fundamentally from mere machinery. In this respect, the human brain and biological systems, according to Nicolelis, cannot be reduced to computer algorithms or scaling models.

This paper will critique whether or not Miguel Nicolelis is correct concerning AI as a system of oppression and concerning a scientific limitation which never allows machines to become similar to humanity.

Human brain vs artificial intelligence – Miguel Nicolelis theory


Who Is Miguel Nicolelis and Why His Views Matter

Miguel Nicolelis is a Brazilian neuroscientist and a professor of neurobiology and biomedical engineering at Duke University and a pioneer in the field of BMI or ‘brain–machine interfaces.’ The reasons for his inclusion in the list of innovators in science and technology are his ability to control paralyzed individuals’ exoskeletons through a ‘brain–machine interface’ and his efforts to control robots through neural interfaces.

What is important, however, is the point that Nicolelis is not a technophobe. His views on AI are rooted in someone who is very much a part of the neuroscience and engineering community, making it very hard to label his concerns as a result of technophobia. The ideology, not the technology of AI, is his main worry.

AI as a “Project of Domination”: What Does Nicolelis Mean?

In the way that Nicolelis specifies his theory on the concept of AI as dominations projects, he does not address the traditional science fiction model of robots overhyping the control of over humanity and vice versa.

AI control, surveillance, and algorithmic domination

1. Economic and Labor Domination

Increasingly, AI is applied to:
  • Automate jobs on a large scale
  • The system is also capable of
  • Optimize labor costs for corporations
Nicolelis claims AI's applications contribute to capital concentration and thus alienate and replace workers while increasing the power and influence of a small class of technology owners. Therefore, AI becomes a mechanism used for economic control rather than liberation.

2. Cognitive and Behavioral Control

What AI Today Does Not Only CALCULATES—it NUDGES, PREDICTS, and MANIPULATES
  • Recommendation Algorithms Impact Opinions
  • Surveillance systems have a significant impact
  • Social media are optimized for engagement, not for well-being
Nicolelis points out that the reduction of human behavior to expected patterns forms a feedback loop of control, where humans will adapt to machines, not the other way around.

3. Reduction of Human Intelligence

The central argument here in the criticism by Nicolelis is that AI is based on a false metaphor: the notion of the brain being a computer.

This reductionist approach:
  • Treats intelligence as computation
  • Ignores embodiment, emotion, and context
  • Characterizes humans as ‘biological machines’
"In Nicolelis’ opinion, this metaphor offers domination through the optimization of beings reduced to replaceable, optimizable entities."


What Is Relativistic Neuroscience?

Relativistic Neuroscience, Nicolelis’s alternative solution to the brain’s computation problem, questions the idea that cognition is the property of individual neurons or specific brain circuits.

Relativistic neuroscience and brain complexity


Basic Principles of Relativistic Neuroscience

1. The Brain is a Dynamic System

Intelligence occurs through massive neural activity and not through linear operations.

2. There is No Absolute Neural Reference Frame

Brain functions with regard to context, body condition, environment, and time. 

3. Emergence versus Computation 

Mental states are not predictable by analyzing parts separately. 

Under this paradigm, the brain is seen as a relational, adaptive, and historical system that is quite the opposite of the way current AI systems are built using predefined architectures and databases.

Relativistic Biology: Why Life Cannot Be Engineered Like Software

Nicolelis extends his argument beyond the brain to biology itself.

Key Ideas of Relativistic Biology

  • Living systems evolve continuously
  • Biological intelligence is shaped by survival, emotion, and embodiment
  • Meaning arises from interaction with the environment

Machines, by contrast:

  • Do not evolve organically
  • Do not experience mortality or purpose
  • Do not possess intrinsic goals

From this perspective, AI lacks the biological grounding necessary for genuine understanding or consciousness.


Are Humans and Machines Fundamentally Different?

Nicolelis' answer is yes, and this is not based on emotions or philosophy.

Humans

  • Learn by doing
  • Are shaped by culture, pain, joy, and mortality
  • Make meaning, rather than mere output.

Machines:

  • Optimize mathematical objectives
  • Must depend on externally defined goals
  • Mimic understanding but not experience

Relativistic neuroscience argues that human intellect is irreducible—that it cannot be fully described in code, regardless of the sophistication of the code.


Counterarguments: Is Nicolelis Too Dismissive of AI?

Opponents of Nicolelis contend that:
  • Artificial Intelligence Does Not Have to Imitate Human Intelligence to be Useful
  • The phenomenon of emergence can be present in a complex system of machines
  • Brain–computer metaphors are in flux, not fixed
Some researchers feel that superior artificial intelligence will be able to have a level of contextual thinking that is similar to the way the human brain thinks and reasons.

Nevertheless, on one issue, even most AI experts appear to agree with Nicolelis: current AI is not intelligence in the human sense. It is essentially scale-up statistical pattern recognition.

Is AI Inherently a Tool of Domination?

It’s more a question of governance and policy.
AI becomes a project of domination when:
  • Controlled by monopolies
  • Used without ethical guidelines
  • Made to replace, not to supplement, humans
“The problem isn’t that AI will have to dominate,” Nicolelis continues, “but that it will if we fail to be humble about the limitations of life

Implications for the Future of AI and Humanity

“If Nicolelis is right,” he says, “the future requires a shift from human

  • From AI Supremacy to Human-Centered Intelligence
  • The transition from replacement to augmentation Therapy
  • From computational metaphors to biological realism
This is in line with emerging trends in Ethical AI, Embodied Cognition, and Neuro-Inspired Computing, according to which there should be greater collaboration between humans and machines, and less competition between them.

The Final Verdict: Is Miguel Nicolelis Right?

Human intelligence vs machine intelligence


Nicolelis’s point is not that innovation in AI should be obstructed. His point is that inhibiting an understanding of what humans are would be detrimental to human

On Balance:
  • He is largely correct in suggesting that AI, as it is currently defined, has all the potential of becoming a system of domination.
  • He is scientifically valid in stating that brains and biology have a reality that goes beyond computationalism. People like him have
  • He is quite philosophical about laying out a straightforward distinction between machines and living intelligence.
Whether society listens to this warning is what will determine whether Artificial Intelligence will become a tool of liberation or control.
                                                                     
                                                                 --------------------------------------------

Author Note 

The contributor is currently working independently as a researcher and a writer on the topics of artificial intelligence, neuroscience, and technology ethics. Their work is concerned with the scientific and ideological boundaries of computer models regarding human intelligence and biology. The contributor concentrates on human-focused, ethical technology development.

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