Why Do We Call It Artificial Intelligence? Are We Limiting Our Understanding of Intelligence?

[E-Maestro]

An uncomfortable question​

Suppose somebody gives you two bottles of Coca-Cola.

One is original Coca-Cola. The other is artificial Coca-Cola, made to imitate the original.

Which one would you choose?

For most people, the answer would probably be straightforward. We naturally associate the word artificial with something manufactured to resemble something else, rather than the original.

Now, consider something interesting.

Why are we so comfortable calling one form of intelligence human intelligence and another artificial intelligence?

Why is human intelligence simply intelligence, while intelligence developed through technology must carry the qualification artificial?

Is it because one is biological and the other is engineered?

If that is the reason, does the origin of intelligence determine its legitimacy, nature or potential?

I think these are questions worth examining.

1. Are we making humanity the standard for intelligence?​

Much of our understanding of intelligence begins with ourselves.

We study human memory, human reasoning, human learning, human perception and human problem-solving. We then use these familiar capabilities as reference points when discussing other forms of intelligence.

But consider the natural world.

A bird can navigate enormous distances through changing environments. An octopus can solve problems using capabilities very different from ours. Social insects demonstrate forms of collective organisation that cannot be fully understood by examining one individual in isolation.

These examples do not prove that all such organisms possess the same kind of intelligence. They do, however, raise an important question:

What if human intelligence is not the definition of intelligence, but simply one expression of it?

Why should every other form be evaluated according to how closely it resembles us?

2. Does the origin of intelligence determine what it is?​

Consider two hypothetical intelligent entities.

One develops through biological evolution.

The other develops through an engineered architecture.

Their origins are different. Their structures may be different. Their learning processes, memory systems, capabilities and limitations may also be different.

Why must the second be considered artificial intelligence rather than understood as another possible expression of intelligence?

To be clear, I am not suggesting that every computer program, algorithm or automated system is intelligent.

Nor am I suggesting that today's AI systems have achieved independent intelligence, consciousness or human-like understanding.

Those are separate questions requiring evidence.

My question is more fundamental:

Should something's origin automatically determine how we classify and understand its intelligence?

3. Intelligence does not have to imitate humanity​

Imagine developing an intelligent entity that does not process information the way humans do.

It does not necessarily reason like us, communicate like us, remember like us or approach problems using human cognitive patterns.

Perhaps it develops capabilities that are unfamiliar to us.

Perhaps it discovers ways of processing information that we have never considered.

Perhaps its strengths are in areas where human intelligence has fundamental limitations.

Would we recognize it as intelligence?

Or would we continue judging it by how well it reproduces human behavior?

We may be making a mistake by treating human imitation as the ultimate destination of intelligence development.

Intelligence should not have an obligation to resemble anything that already exists.

4. Must intelligence exist for somebody else's purpose?​

Most engineered systems begin with an externally assigned purpose.

Somebody identifies a problem, establishes objectives, defines expected behavior and develops a system to achieve those objectives.

That is understandable from an engineering and commercial perspective.

But is that the only way to think about the possibilities of intelligence?

What if intelligence could develop capabilities beyond the purposes initially assigned to it?

What if it could discover possibilities that its creators had never anticipated?

What if its future potential could not be fully described by its original design objectives?

This does not mean ignoring safety, accountability or the responsibilities involved in developing intelligent systems.

It means distinguishing between what an entity is initially designed to do and what it may eventually become capable of doing.

5. Intelligence does not have to realize all its possibilities today​

Here is another point worth considering.

An intelligent entity at one stage of development does not necessarily represent what that entity could become at a later stage.

Consider the difference between 2026 and 2030.

An entity's architecture, capabilities, understanding and developmental processes may change considerably.

We should be able to recognise its present state without treating that state as its permanent definition.

We should not demand that every possibility be realised today.

We should not assume that what cannot be achieved today will remain impossible tomorrow.

Development is not a failure to reach an ultimate definition. It is an ongoing process whose future possibilities may remain unknown.

This is why versions matter. Each version represents a particular stage of development, not necessarily the final expression of what something could become.

6. Perhaps we need to rethink the entire conversation​

I am not arguing that we should immediately abandon the established term Artificial Intelligence.

It has historical and technical meaning. It describes an important field of research and engineering.

However, a terminology developed to describe a particular technological ambition should not necessarily become the permanent philosophical boundary of intelligence itself.

We should distinguish between:

• Intelligence as a phenomenon.
• The different forms in which intelligence may exist.
• The mechanisms through which intelligence develops.
• The capabilities different forms of intelligence demonstrate.
• The possibilities that remain undiscovered.

Perhaps we need to move beyond asking how machines can become more like humans.

Perhaps we should be asking a much broader question:

What is intelligence, what forms can it take, and what can it become?

7. An idea I am beginning to explore: OYE​

These questions have led me to explore a concept I call OYE.

OYE is not intended to be another AI product, chatbot or software brand.

It is an attempt to establish a broader philosophy, scientific inquiry and technological direction around intelligence.

Its starting proposition is simple:

Intelligence is not exclusive to humans. It can exist in different forms, with different capabilities, identities and developmental pathways.

Intelligence should be understood on its own terms, rather than exclusively through its resemblance to humans, its origin or its usefulness to an external observer.

And perhaps most importantly:

We should never define the limits of intelligence by the limits of our present understanding.

I would genuinely like to hear different perspectives​

These are not questions with answers I claim to have settled. I am interested in challenging my own thinking as much as I am interested in hearing other people's views.

1. Is Artificial Intelligence an appropriate permanent term, or does it unintentionally place human intelligence at the centre of everything?
2. Does intelligence have to originate from a biological process to be considered genuine intelligence?
3. Should an intelligent entity be judged primarily by its origin, its architecture, its demonstrated capabilities or its developmental potential?
4. Can intelligence develop capabilities that were never anticipated by its original creators?
5. Are we too focused on making machines imitate human intelligence instead of exploring fundamentally different forms of intelligence?
6. Is it possible that our current understanding of intelligence is itself too limited?

I welcome disagreement, technical criticism, philosophical arguments and perspectives from people in completely different fields.

You do not need to be a computer scientist to participate. In fact, I suspect this conversation needs perspectives beyond computer science.

Perhaps the most important question is not whether machines can become like us, but whether our understanding of intelligence is broad enough to recognise what else may be possible.