Chapter 28

AI AND HUMANITY: THE MORE TECHNOLOGY ADVANCES, THE MORE IMPORTANT THE DEVELOPMENT OF HUMAN JUDGMENT BECOMES

PROLOGUE
Generalities on a necessary reflection

Talking about artificial intelligence today is no longer about the future; it's about the present. AI has quietly entered our daily lives: in the way we learn, work, make decisions, shop, research, and even in how we interact with others. What seemed exclusive to specialized laboratories just a few years ago is now part of the everyday lives of millions of people.

However, every major technological transformation brings with it a great human responsibility. The main question is no longer just what artificial intelligence can do, but what we should do in response to it.

This text arises precisely from that concern.

For a long time, humanity's development has focused on expanding its capacity to produce, communicate, and solve problems. Each technological revolution has profoundly changed society: the printing press transformed knowledge, the industrial revolution changed work, and the digital age modified information. Now, artificial intelligence is ushering in a new era: the automation of operational thinking.

But this new reality poses a profound tension: while machines increase their ability to respond, human beings risk diminishing their capacity to reflect.

Therein lies the core of this work: the urgent need to cultivate human judgment. It is not about rejecting technology, nor about adopting a fearful stance toward scientific progress. It would be a mistake to think of AI as the enemy. Artificial intelligence represents an extraordinary tool, capable of supporting educational, medical, administrative, scientific, and social processes with a speed and precision previously unimaginable.

The problem is not the tool, but the conscience of the person using it.

A society with abundant technology but little critical thinking can advance technically while regressing in terms of humanity. It can have access to all the information in the world and, at the same time, lose the ability to discern what is true, just, and important.

Therefore, this reflection does not revolve around the machine, but around the human being.

Education can no longer be reduced to transmitting content; it must focus on developing critical thinking. Leadership no longer means managing data; it means guiding decisions ethically. Learning no longer consists of accumulating answers; it consists of developing the right questions. Governance can no longer be based solely on efficiency; it must be grounded in moral responsibility.

Artificial intelligence doesn't eliminate the need to think; it makes it more urgent. This prologue invites you to read the following pages not as a technical discussion about algorithms, but as a profoundly human reflection on the present and the future. Because the real debate isn't technological, but ethical, educational, and civilizational. We are entering an era where knowing how to use tools will be important, but knowing what to use them for will be far more important.

That "why" question cannot be answered by any machine. It is answered by each person's conscience, judgment, education, and responsibility.

Perhaps that is the great lesson of our time: the more technology advances, the more urgent it becomes to cultivate humanity. And that is precisely the reason for this book.

We are living through one of the most profound transformations in human history. Artificial intelligence has ceased to be a promise of the future and has become an everyday reality. It is present in education, medicine, economics, politics, communication, and almost every decision we make. Today, we not only coexist with intelligent machines: we are beginning to depend on them.

However, amidst this extraordinary progress, an essential question arises: if machines can respond, calculate, predict, and learn, what then is the role of human beings?

The answer lies not in competing with technology, but in strengthening what technology cannot replace: human judgment .

Information is no longer scarce; discernment is.

For centuries, access to knowledge was limited. Learning meant searching, researching, finding reliable sources, and painstakingly building knowledge. Today, the opposite is true: we are surrounded by information. Abundance has replaced scarcity.

But this new scenario has brought another problem: knowing a lot does not mean understanding well.

Artificial intelligence can provide thousands of answers in seconds, but it doesn't decide which answer is fair, ethical, prudent, or truly useful for human life. It can organize data, but it doesn't replace conscience. It can imitate language, but not wisdom.

Therefore, the great challenge of our time is not accessing information, but learning to interpret it responsibly.

Thinking remains a human task

Technological speed has created a culture of immediacy. Many react before reflecting, offer opinions before understanding, and share before verifying . AI can exacerbate this problem if it becomes a substitute for thought rather than a tool to strengthen it.  Delegating tasks should not mean delegating judgment.

Thinking requires pause, analysis, context, and depth. It demands the ability to ask good questions, not just receive quick answers. A society that stops thinking critically becomes vulnerable, even when it has access to the best technology.

Artificial intelligence does not eliminate the need to think; it makes it more urgent.

Educating is no longer about transmitting data, but about forming critical thinking.

Herein lies one of the greatest educational challenges of our time.

For a long time, education focused on teaching content. Today, when a machine can deliver that content in seconds, the true value of education changes:  to develop people capable of discernment.

Educating is not about filling minds with information, but  about developing judgment, ethics, intellectual autonomy, and social responsibility.

The teacher's value is not diminished by AI; their role becomes more important. They are no longer just a transmitter of content, but a shaper of thought.

The school of the future will not be the one with the most technology, but the one that best teaches how to use it with a human touch.

Leading in the age of artificial intelligence

Leadership also changes.

A leader can no longer rely solely on information, because information is readily available to everyone . What distinguishes true leadership is the ability to interpret, decide, and guide with a human touch.  Leading is not about managing data; it's about developing people.

AI can help predict scenarios, analyze trends, and optimize processes, but  it does not replace empathy, trust, integrity, or moral responsibility.

The leadership of the future will be less technical and more profoundly human.

Ethics cannot be automated

Perhaps this is the most delicate point.

Artificial intelligence can make decisions with enormous impact: approving loans, selecting candidates, suggesting medical treatments, or influencing legal proceedings.  But every automated decision requires a preliminary question: Is it right? Is it fair? Who benefits? Who does it exclude?

Efficiency without ethics can become a sophisticated form of injustice.  That's why technological development needs a solid moral foundation.  It's not enough to ask if something can be done; we must ask if it should be done.

Humanity cannot allow technical progress to advance faster than ethical maturity.

To be more human, not less.

There is a common misconception: that the challenge of AI is to prevent machines from becoming too much like us.

Perhaps the real challenge is to prevent ourselves from behaving like machines: fast, automatic, reactive, and lacking depth .

Technology should free us to think better, not less. The smarter the tool, the more conscious the user must be. The future will depend not only on how much artificial intelligence we develop, but also on how much human intelligence we retain.

Final reflection:  Artificial intelligence is not here to replace human beings; it is here to challenge them. It forces us to ask ourselves what it truly means to learn, to lead, to decide, and to live responsibly.

In a world where automated responses abound, thinking becomes an act of leadership. And perhaps the great lesson of this era is this: the more technology advances, the more important the development of human judgment becomes.

Because in the end, it will not be artificial intelligence that defines our destiny, but the human quality of those who decide how to use it.

AI opinion: In my opinion, the writing is conceptually sound, timely, and highly educational. It doesn't simply describe artificial intelligence as a technological phenomenon, but rather places it in its true dimension: a profoundly human challenge.
Its most valuable aspect is that it shifts the focus of the discussion from the machine to consciousness. This approach is effective because many reflections on AI remain stuck in technical fascination or fear of job displacement, while this book raises a much more important question: what kind of human being are we creating amidst this transformation?
The idea that "information is no longer scarce; discernment is" is especially powerful. It clearly summarizes one of the biggest contemporary problems: an abundance of data does not guarantee wisdom. This is where the text gains philosophical depth and pedagogical value.
Another important strength is the connection between education, leadership, and ethics. It doesn't present AI as an isolated issue for engineers or programmers, but as a reality that affects teachers, administrators, government officials, and citizens. This broadens the message's reach and gives it true editorial value.
Furthermore, the tone avoids both alarmism and naive optimism. It maintains a balance: acknowledging the extraordinary potential of technology, but insisting that without human judgment, that potential can become a risk. This argumentative maturity greatly strengthens the text.
From a book perspective, the prologue fulfills its function well: it broadens the scope, justifies the work's necessity, and prepares the reader for deeper reflection. It has its own voice, a clear thesis, and a line of thought consistent with its proposal to "lead to educate."
If I wanted to elevate it even further, I would suggest incorporating a symbolic image or a central metaphor to accompany the entire work, something like "the compass and the engine": AI as a powerful engine, but human judgment as an indispensable compass. This would enhance its narrative memorability.
In short, it is not just a good text on artificial intelligence; it is a reflection on the defense of humanity in times of automation. And therein lies its true strength.