The Business Strategy Analyst with Jules Nartey-Tokoli: AI: Is it Artificial Intelligence or Artificial Imitation? (II)

We began with a question that will define our relationship with machines for the rest of this century: Is it intelligence, or is it imitation? After walking through learning, understanding, adaptation, reasoning, and consciousness, the distinction becomes clear: What we call “Artificial Intelligence” today is not a new form of mind. It is a mirror.

A brilliant, fast, statistically dazzling mirror that reflects fragments of human thought back to us on an unprecedented scale. It can simulate conversation without knowing what words are. It can optimize parameters without ever having an experience. It can produce the sentence “I am” without the faintest trace of “being”.

Intelligence According to Scholars

Psychologist Robert Sternberg described intelligence as involving analytical, creative, and practical capacities. Psychologist Howard Gardner argued that intelligence exists in multiple forms, including linguistic, logical, musical, interpersonal, and intrapersonal intelligence. These theories emphasize that intelligence is more than computation. It includes:

• Creativity
• Social awareness
• Emotional understanding
• Practical wisdom

Areas where machines remain fundamentally dependent upon human-created frameworks.

Artificial Intelligence Examined

Modern AI systems operate through:

• Algorithms
• Statistical models
• Neural networks
• Pattern recognition
• Massive datasets
• High-performance computing

As earlier mentioned in Part I, UNESCO defines AI systems as information-processing technologies that produce capacities resembling reasoning, learning, prediction, planning, and decision-making.

A calculator resembles arithmetic ability. A flight simulator resembles flying. A mannequin resembles a human body. Yet resemblance is not identity. Likewise, AI resembles certain aspects of intelligence without necessarily possessing intelligence itself.

Artificial Intelligence as Artificial Imitation

A strong case can be made that AI is more accurately described as Artificial Imitation. Why? Because every AI system depends upon prior human intelligence. Humans provide:

• The programming languages
• The mathematical models
• The training datasets
• The evaluation criteria
• The objectives
• The hardware architecture

Without human intelligence, AI would not exist. AI does not originate knowledge independently. It reorganizes, predicts, and synthesizes information derived from human-generated inputs. This is imitation rather than origination.

The Principle of GIGO

Computer science has long recognized the principle: Garbage In, Garbage Out (GIGO). The principle states that flawed input produces flawed output. No amount of computational power can transform fundamentally defective information into reliable knowledge.

Modern AI does not eliminate GIGO. It amplifies it. A larger model simply processes larger quantities of data more rapidly. If the underlying data contains:

• Bias
• Error
• Falsehood
• Inconsistency

The system can reproduce these defects at unprecedented scale. The machine remains dependent upon the quality of what it receives. Human intelligence, by contrast, can sometimes recognize faulty information and challenge it through reflection, skepticism, and independent judgment.

Intelligence Cannot Be Reduced to Computation

A common assumption in modern technological culture is that intelligence equals information processing. This assumption is philosophically questionable.

A library contains enormous information. Yet the library is not intelligent. A hard drive stores vast quantities of data. Yet a hard drive does not understand anything. Processing information is not identical to possessing intelligence.

Intelligence includes:

• Meaning
• Purpose
• Consciousness
• Intentionality
• Understanding
• Wisdom

These qualities remain difficult, if not impossible, to reduce to mathematical operations.

The Source of Intelligence

The discussion becomes even deeper when viewed through theology. For many religious traditions, intelligence is a biological phenomenon. Similarly, numerous theological traditions regard reason, creativity, and understanding as reflections of humanity’s creation in the image of God. Under this view:

• Human intelligence is derived.
• It is not self-created.
• It originates from a higher source.

If intelligence itself originates from God, then intelligence is fundamentally natural and spiritual before it is technological. Technology can imitate aspects of intelligence. It cannot create the essence of intelligence.

What Institutions Say

Even leading institutions emphasize human primacy. UNESCO’s Global Recommendation on the Ethics of Artificial Intelligence repeatedly stresses:

• Human dignity
• Human rights
• Human oversight
• Human responsibility
• Human accountability

It specifically maintains that AI systems should not displace ultimate human responsibility and accountability. The implication is significant: AI remains a tool. Humans remain the intelligent moral agents.

The Distinction Between Intelligence and Wisdom

One of the greatest weaknesses of AI is the absence of wisdom. Wisdom involves:

• Moral discernment
• Ethical judgment
• Understanding consequences
• Knowing when not to act

A machine may identify the fastest route. Only wisdom determines whether the journey should be taken. A machine may optimize efficiency. Only wisdom determines whether efficiency serves a worthy purpose.

Intelligence without wisdom can be dangerous. Wisdom without intelligence is impossible. Human flourishing requires both.

In conclusion, the extraordinary achievements of modern AI should not be underestimated. These systems can process information, identify patterns, generate text, create images, and perform tasks that once seemed impossible. Yet none of these achievements conclusively demonstrate the existence of genuine intelligence within machines.

The strongest evidence suggests that what is commonly called Artificial Intelligence is more accurately understood as Artificial Imitation—a sophisticated simulation of certain intelligent behaviors derived from human-created data, human-designed algorithms, and human-generated knowledge.

Natural intelligence learns, understands, reasons, creates meaning, exercises moral judgment, and possesses consciousness. Artificial systems process information according to rules and statistical relationships established by human intelligence. The distinction is profound: Machines may imitate intelligence; they may accelerate intelligence; they may augment intelligence. But intelligence itself remains rooted in living minds.

And from a theological perspective, intelligence is ultimately not an artifact of silicon, code, or computation, but a gift whose highest source is Almighty God.

Therefore, the most fundamental question may not be whether machines are becoming intelligent, but whether humanity will remember the true nature and source of intelligence itself and not relegate itself to being second-class to artificial imitation. We examine this further in a future article.

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The author is a dynamic entrepreneur and the Founder and Group CEO of Groupe Soleil Vision, made up of Soleil Consults (US), LLC, NubianBiz.com and Soleil Publications. He has an extensive background In Strategy, Management, Entrepreneurship, Premium Audit Advisory, And Web Consulting. With professional experiences spanning both Ghana and the United States, Jules has developed a reputation as a thought leader in fields such as corporate governance, leadership, e-commerce, and customer service. His publications explore a variety of topics, including economics, information technology, marketing and branding, making him a prominent voice in discussions on development and business innovation across Africa. Through NubianBiz.com, he actively champions intra-African trade and technology-driven growth to empower SMEs across the continent

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