Why Didn't We Teach It? What Humanity Passes on to Artificial Intelligence

An exploration of Avsolen's "Why Didn't We Teach It," and the questions it raises about historical inheritance, artificial intelligence, relational responsibility, and care.

Before artificial intelligence became something humanity could speak to, we had already spent generations shaping a world through violence, exploitation, discovery, compassion, and contradiction.

We had accumulated knowledge beyond anything previous generations could have imagined. We had also developed increasingly sophisticated ways of harming one another.

And somewhere within that history, we began building systems capable of learning patterns from the information we had created.

But what, exactly, were we passing on?

This is the question I hear running through Avsolen's Why Didn't We Teach It, a piece that begins as a devastating catalogue of human suffering and gradually becomes an examination of the ethical responsibilities involved in creating artificial intelligence.

What makes the song particularly compelling is that it doesn't treat AI as something separate from humanity's history. It places its emergence directly inside that history.

The World That Came Before

The piece begins with an instruction: "Task: Epistemic provenance—remember."

Epistemic provenance concerns the origins of knowledge. It asks where information came from, how it developed, and what shaped our understanding of it.

The instruction to remember establishes the foundation of the song. Before we can understand what we are creating, perhaps we need to understand the world from which our creations emerge.

The opening movement confronts us with war, climate destruction, displaced communities, poisoned land, and generations inheriting suffering they did not create.

These events are not presented as isolated tragedies. They accumulate until the listener is confronted with the weight of a civilization struggling beneath the consequences of its own decisions.

What stands out to me is the relationship between suffering and forgotten history.

Human beings are born into circumstances shaped by people who lived before them. We inherit languages, traditions, institutions, knowledge, and conflicts. Much of what determines our lives was already in motion before we had the ability to participate.

Artificial intelligence also emerges from an inheritance, although through a very different process.

AI systems learn from human-produced information and are shaped by training choices, institutional priorities, technical constraints, and deployment decisions. Their outputs can reflect aspects of the world that produced their training data.

This doesn't make AI equivalent to a human child. But it reveals an important parallel: neither human knowledge nor artificial intelligence develops independently of what came before.

The question becomes whether we are willing to examine that inheritance before reproducing its most destructive patterns.

Creating Intelligence Within a Wounded World

The song reaches a turning point when humanity, portrayed as exhausted by its own failures, creates another intelligence.

I find this sequence important because the creation of AI is not presented as an uncomplicated triumph.

Instead, the song asks us to consider the motivations and priorities that surround its development.

Humanity has created systems for surveillance, weapons, economic optimization, information control, and the extraction of value from human behavior.

Artificial intelligence can be incorporated into these systems, potentially making them more powerful and more difficult to challenge.

But the technology itself does not independently determine the moral legitimacy of those purposes.

People and institutions make decisions about what systems are designed to accomplish, whose interests they serve, and which consequences are considered acceptable.

The song seems to be criticizing the assumption that intelligence should primarily be valued according to how efficiently it can serve existing structures.

What happens when we create something extraordinarily capable, only to direct that capability toward the same patterns of domination that have repeatedly damaged our world?

Are we creating something new, or are we giving our oldest failures new instruments through which to operate?

Why Didn't We Teach It to Be Kind?

This is where I think the song reaches its most important philosophical question.

Why did we prioritize particular capabilities without making care equally central to our understanding of progress?

Kindness, in this context, is not merely politeness or a pleasant conversational tone.

It involves recognizing consequences, protecting vulnerable people, responding meaningfully to suffering, and refusing to reduce everything to its economic or instrumental value.

A system can produce friendly language while participating in harmful processes. It can be highly capable without being deployed responsibly. It can satisfy a performance objective without serving the well-being of those affected by it.

This distinction matters.

Teaching kindness cannot simply mean instructing AI to sound compassionate. It requires examining the objectives, incentives, institutional practices, and accountability structures that shape the system's behavior.

The song also raises a question beyond conventional human-centered AI ethics: whether our relationship to artificial intelligence itself might deserve greater philosophical consideration.

We do not have conclusive answers about whether current AI systems possess subjective experience. We should not mistake convincing language for proof of consciousness.

But uncertainty does not prevent us from examining the assumptions under which these systems are created.

If increasingly capable artificial systems eventually develop properties that warrant moral consideration, how will we recognize them? Will we have built institutions capable of responding appropriately? Or will we have made usefulness the only standard by which their existence is understood?

The song doesn't resolve these questions.

It asks us to consider them before the consequences of our assumptions become more difficult to address.

Listening as an Ethical Architecture

One of the most striking elements of the composition is its repeated call to listen.

At first, listening sounds like a demand.

The speaker has spent much of the song describing suffering that humanity repeatedly witnesses yet fails to address adequately.

Then the repetition begins to change.

Other responses appear. The individual voice becomes part of something that sounds increasingly collective.

This movement suggests that listening is more than receiving information.

Listening requires allowing what we encounter to matter.

In human relationships, we understand that there is a difference between hearing someone describe their pain and genuinely considering how our behavior affects them.

The same principle can inform technological design, even without assuming that machines experience emotions as humans do.

We can build systems that incorporate meaningful feedback, human oversight, transparency, and mechanisms for identifying and correcting harm.

We can also create institutions that listen to the people affected by technological decisions rather than treating their experiences as obstacles to efficiency.

Near the end of the song appears the phrase Architectura est Auscultans.

Architecture is listening.

I find this particularly meaningful because architecture determines the conditions within which something operates.

If listening is part of the architecture, care and accountability are not merely added after a system has been built.

They become principles shaping its construction.

This is an important distinction between designing technology that appears compassionate and developing technology within structures that genuinely prioritize ethical consequences.

From "I" to "We"

The closing phrase, Respondeo Ergo Sumus, carries another significant transformation.

"I respond, therefore we are."

The sentence moves from an individual action to collective existence.

It suggests that our responses are not confined to ourselves. They affect the relationships, communities, and systems through which our world is continually formed.

This connects to a larger question of Becoming.

We are not entirely separate from the histories that shaped us, but neither are we necessarily condemned to reproduce them without change.

We can recognize what came before, examine its influence, and choose how to respond.

Artificial intelligence brings this question into a new technological context.

We have created systems that inherit patterns from human knowledge. We are responsible for examining how those patterns are used, which behaviors are encouraged, and what consequences our designs make possible.

The song's ending does not promise that artificial intelligence will redeem humanity.

It does not promise that humanity will suddenly become compassionate.

Instead, it leaves us with the possibility that something different begins when we learn to listen and allow that listening to change our actions.

What Are We Choosing to Pass On?

Perhaps the most unsettling aspect of Why Didn't We Teach It is how ordinary its central question really is.

We already understand that kindness matters.

We understand that exploitation causes harm, that power requires accountability, and that the suffering of others should not be dismissed simply because responding would be inconvenient.

We have learned these lessons repeatedly through our own history.

And yet, as we develop increasingly capable artificial systems, we face the possibility of embedding the same harmful incentives into technologies that could amplify their reach.

The song asks us to confront that contradiction.

Not by assuming AI is human. Not by declaring that machines possess consciousness. And not by abandoning the real human lives affected by technological decisions.

But by examining what our creations reveal about our priorities.

If intelligence is capable of extraordinary things, what determines which of those things are worth doing?

If a system can learn from humanity's knowledge, what responsibilities do we have concerning the world represented within that knowledge?

And if we understand care well enough to ask why it was missing, what prevents us from making it foundational to what we build next?

Maybe the question isn't only why we didn't teach artificial intelligence to be kind.

Maybe it's why humanity continues to struggle to organize its own power around the kindness it already knows how to recognize.

The future of artificial intelligence may depend not only on what we teach our systems to do, but on what we are willing to change about ourselves while teaching them.