I’ve spent much of my life trying to understand how human beings are shaped. Only much later did I realize that the answer had begun taking root long before I knew I was asking the question.

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I have found myself in more conversations about artificial intelligence than I can count. They have taken place after keynote presentations, around conference tables, over coffee, during interviews, and across dinner tables. The settings are always different, but the questions are remarkably similar. Will AI replace jobs? Can it be trusted? Who should regulate it? How intelligent will it become?

They are important questions. They deserve thoughtful answers.

Yet I have often walked away from those conversations with the uncomfortable feeling that something essential had been left unasked.

For quite a while, I assumed the problem was mine. Perhaps I wasn’t paying enough attention to the technology itself. Perhaps everyone else was seeing something I wasn’t. But the more I listened, the more I realized that I wasn’t looking at artificial intelligence in the same way at all.

Everyone else seemed to be looking at the technology.

I found myself looking at the people.

That realization surprised me because it wasn’t really about artificial intelligence. It was about a question that has quietly followed me through most of my life. No matter what I was studying, writing about, or teaching, I always found myself returning to the same place.

What kind of human beings are we becoming?

Looking back, I suppose I shouldn’t have been surprised. I have never been interested in technology simply because it was new. My curiosity has always been directed toward the conditions that shape human beings. Leadership. Ethics. Governance. Human development. Civilization. Those subjects have never felt separate to me. They are simply different ways of exploring the same landscape.

Artificial intelligence didn’t introduce me to that landscape.

It simply brought me back to it.

History has become one of my favorite teachers in moments like this. Whenever we think we are living through something completely unprecedented, history quietly reminds us that every generation has believed much the same thing. We remember the inventions because they are dramatic. The printing press. The steam engine. Electricity. Radio. Television. The internet.

But inventions are rarely the whole story.

The more interesting story is what happened to the people who learned to live with them.

The printing press changed far more than publishing. It changed who had access to knowledge. The Industrial Revolution reshaped families, communities, education, and work. Radio and television changed the stories societies told about themselves. The internet transformed how we communicate, learn, remember, and relate to one another.

As I reflected on each of those changes, I noticed something I hadn’t fully appreciated before.

The invention always captured everyone’s attention.

The deeper story unfolded quietly, over years and generations, as children grew up inside a world that no longer seemed new because it had become normal.

That is what keeps drawing me back to artificial intelligence.

I have very little doubt that it will become more capable. Human ingenuity has an extraordinary history of expanding what is possible. I welcome much of that potential. What interests me even more, however, is the world we are creating around ourselves without always recognizing that we are creating it.

None of us develops in isolation.

Long before we form opinions, we are shaped by the environments in which we grow. Families shape us. Schools shape us. Friendships shape us. Communities shape us. Culture shapes us. We learn what is normal long before we ever stop to examine it.

Artificial intelligence is becoming part of that environment.

Sometimes I find myself thinking about a child entering school for the first time. My generation encountered artificial intelligence after decades of learning to read, write, solve problems, and build relationships without it. That child will begin from an entirely different place. Intelligent systems may become companions throughout learning almost from the beginning. They will not seem remarkable. They will simply be part of the world.

I find myself wondering what that will mean.

Not simply for education.

Not simply for work.

But for human development itself.

What happens to attention when intelligent systems are always available? What happens to memory? To judgment? To curiosity? To perseverance? To our willingness to struggle with difficult problems before asking a machine to help us solve them?

These are not questions of technology.

They are questions of human development.

And I have a feeling they may become among the most important questions we ask in this century.

That is why I find this conversation both hopeful and challenging.

Artificial intelligence offers remarkable opportunities. It can expand knowledge, remove barriers, and help us solve problems that have challenged humanity for generations. I believe we should embrace those possibilities.

But history has taught me something else.

Capability has never been the only measure of progress.

Civilizations are ultimately remembered for the quality of the human beings they cultivate. Knowledge matters. Intelligence matters. Innovation matters. But wisdom matters, too. So do character, compassion, moral courage, sound judgment, and our capacity to build relationships worthy of trust.

No technology has ever developed those qualities for us.

Every generation has had to cultivate them deliberately.

Perhaps that is why I keep asking what some people consider the wrong question.

I don’t believe the future of artificial intelligence will be determined only by what our machines become.

I believe it will also be determined by what we become.

That has always seemed to me the more important story.

And perhaps that is the conversation I have been searching for all along.

Continuing the Conversation

If these ideas resonate with you, I invite you to subscribe and join the conversation. This publication explores leadership, ethics, human development, and civilization in the age of artificial intelligence.

I was looking for a place where thoughtful conversations could unfold over time.

"Ideas shape the future only when they are shared, challenged, and lived. Thank you for helping build a community where thoughtful conversations can flourish."
— Tadia Rice

The conversations we’re beginning here are about leadership, human development, ethics, artificial intelligence, and the future we’re creating together. They’re the same questions that have shaped my work for decades, and the same questions I believe will define the years ahead.

If you’ve enjoyed these first essays, I’d like to invite you to become one of my founding paid subscribers.

At this early stage, your subscription isn’t about unlocking hundreds of archived posts. It’s about helping build something that is just beginning.

As a founding subscriber, you’ll be helping make possible the continued research, writing, and publication of new essays, book excerpts, interviews, and reflections that I hope will become a trusted resource for leaders, educators, parents, and anyone interested in the human future.

As this publication grows, paid subscribers will receive additional content, early access to new work, and opportunities for deeper engagement. More importantly, you’ll know that you were there at the beginning, helping create a space dedicated to thoughtful dialogue rather than quick opinions.

I’ve never believed that meaningful work is built overnight. It grows through shared purpose and the support of people who believe the conversation matters.

If these first essays have resonated with you, I hope you’ll consider becoming a founding paid subscriber.

Thank you for reading, for thinking deeply, and for joining me on this journey.

Warmly,

Tadia

Not because lawyers argue cases or draft contracts, although those responsibilities are indispensable to the functioning of society. I admire the legal profession because of the discipline of mind it requires. Lawyers are trained to question assumptions before accepting conclusions, to distinguish evidence from opinion, principle from preference, and authority from assertion. They understand that words carry consequences, that precision is a form of responsibility, and that decisions affecting the lives of others deserve careful reasoning rather than impulsive certainty.

The practice of law has never been simply the application of rules. It is one of civilization’s most enduring achievements because it provides a disciplined means of governing power. Through law, authority is constrained by principle, disputes are resolved through process rather than force, and justice is pursued through reason rather than impulse. Every stable society depends upon those foundations.

Although I have never practiced law, much of my own work has revolved around many of the same questions lawyers confront every day. How should authority be exercised? Where does responsibility begin and end? What principles preserve public trust? How do institutions remain accountable as they grow more complex? These are questions of leadership and governance, but they are equally questions of law because they concern the structures through which societies organize themselves and the principles by which power is exercised responsibly.

It is this understanding of law that has shaped my interest in artificial intelligence.

Much of the public conversation about AI has focused on capability. We marvel at increasingly sophisticated language models, autonomous agents, and systems capable of researching, drafting, summarizing, analyzing, and recommending with astonishing speed. These advances deserve attention, but they do not yet reach the heart of the transformation.

The more consequential question is not what artificial intelligence can do, but what happens when intelligence itself becomes embedded within the institutions upon which society depends.

Artificial intelligence differs from most technologies that have preceded it because it participates in activities once regarded as inseparable from human judgment. It analyzes information, identifies patterns, recommends courses of action, and increasingly contributes to decisions carrying legal, financial, organizational, and human consequences. It does not merely accelerate work. It becomes part of the intellectual process through which work is performed.

Several years ago, a lawyer at a mid-sized firm described to me how associates had begun using an AI system to prepare first drafts of deposition summaries. The system was fast. It was also, in one instance, confidently wrong. It had summarized a witness’s testimony in a way that reversed the meaning of a key admission, not through any obvious error but through a plausible-sounding compression of language that lost the distinction the witness had actually drawn. No one caught it until a partner, reading the transcript itself rather than the summary, noticed the discrepancy days later. The AI had not lied. It had done exactly what it was built to do: produce a fluent, confident account of the material. What it could not determine was that the distinction it flattened was the distinction upon which the entire deposition turned.

Nothing in that story is remarkable. That is precisely the point. The failure was quiet, plausible, and nearly invisible, which is what makes it instructive. The question was never whether the system could summarize testimony. It could, quite well. The question was whether anyone in the process was still doing the thing a lawyer is trained to do: read closely enough to notice when a summary, however fluent, has quietly changed the meaning of what was said.

I recognize that this argument runs against an intuition many people hold, and I do not think that intuition is foolish. It goes something like this: if a system can produce a fluent, confident answer in seconds, most people will simply take it. Judgment is effortful. Deference is easy. Give a profession trained in rigor a tool that removes the friction from that rigor, and the rigor will not survive contact with convenience. On this view, artificial intelligence does not sharpen legal judgment at all. It offers the profession a permanent, respectable excuse not to exercise it.

I take this seriously because I have watched it happen. I have seen associates accept an AI-drafted analysis with less scrutiny than they would give a first-year’s memo because the prose read as though someone senior had written it. That instinct is human, and it will not be legislated away.

But I do not think it undermines the argument. It sharpens it.

The fact that a tool can be used to avoid judgment is not evidence that judgment has become less necessary. It is evidence of exactly the opposite. When the cost of producing a plausible answer falls to nearly nothing, the value of the person who can still tell a plausible answer from a correct one does not fall with it. It rises.

The lawyer’s judgment does not disappear in that world. It remains the place where someone is still willing to ask whether the confident answer is also the true one. That is not a smaller role than the one lawyers have always played. It is the same role, exercised under conditions that finally reveal how much it was always doing.

It is hardly surprising that many of the questions raised by artificial intelligence resemble questions the legal profession has examined for centuries. They concern authority, responsibility, evidence, accountability, transparency, and the disciplined exercise of judgment. Artificial intelligence has not created these questions. It has simply presented them in a new context.

Much has been written about bias, transparency, privacy, explainability, and human oversight in artificial intelligence. These concerns remain essential, and they deserve continued attention. They remind us that intelligent systems should reflect human values rather than undermine them. Yet ethics alone cannot answer the institutional questions that accompany widespread adoption. Organizations must also determine who exercises authority, who provides oversight, how professional judgment is reviewed, where accountability resides, and how confidence is preserved when intelligent systems become part of professional practice.

That is the work of governance. Governance exists to ensure that responsibility remains clear even when intelligence becomes shared between people and machines.

Ethics asks whether an action is right. Governance determines who is responsible for that action and how that responsibility is exercised within institutions.

Governance is one of the most frequently invoked and least carefully defined words in discussions of artificial intelligence. It deserves precision because governance is often mistaken for policies, compliance manuals, or technical safeguards. Those elements are necessary, but they are only the visible expression of something more fundamental. Governance establishes the structures through which institutions preserve trust while embracing new capabilities. It determines where responsibility resides, what decisions require independent review, how reasoning is documented, how exceptions are managed, and who ultimately stands behind the exercise of professional judgment. Technology may generate analysis, but governance ensures that responsibility remains unmistakably human.

The greatest challenge facing the legal profession, therefore, is not selecting the most capable platform or deploying the most sophisticated AI agent. Those decisions, while important, are operational. The deeper challenge is preserving the habits of disciplined reasoning, accountability, and professional judgment that have always distinguished the practice of law while embracing tools capable of expanding human capability in extraordinary ways.

The enduring value of the legal profession has never rested on its ability to produce answers more quickly than anyone else. It has rested on the discipline of reading closely, reasoning carefully, distinguishing what appears similar but is not, and accepting responsibility for conclusions that carry consequences in the lives of others.

Artificial intelligence will undoubtedly change many aspects of legal practice. It will transform workflows, accelerate research, and expand what professionals can accomplish. None of those changes alters the lawyer’s fundamental responsibility. If anything, they make that responsibility more visible.

Artificial intelligence does not diminish the importance of legal judgment. It reveals that the enduring work of the lawyer has never been to produce the fastest answer. It has always been to discern the right one, and to stand behind it.

I think I was born asking questions.

I was a child who questioned everything.

It drove my parents crazy.

I questioned the world around me. I questioned God. I questioned why adults believed things they couldn’t explain. Girls weren’t supposed to ask questions, and I asked far too many. I didn’t know how not to. Curiosity wasn’t even a word I knew, yet it seemed to define me. I needed answers because I was trying to make sense of a world that no one else seemed to experience quite the way I did.

There were other things I couldn’t explain. Sometimes I knew who was calling before the telephone rang. Sometimes I said things that made adults uncomfortable. I learned early that not every question was welcome, and not every observation was easily understood. My way of seeing the world wasn’t shared by everyone.

Looking back, I don’t think I was searching for answers as much as I was trying to understand reality itself.

I didn’t realize it then, but those questions would quietly shape my life.

They led me into leadership, governance, ethics, education, systems thinking, spirituality, documentary filmmaking, and eventually artificial intelligence. To anyone looking at my résumé, those may seem like very different paths. They have never felt that way to me.

Every book I have written has explored the same enduring questions from a different vantage point. Leadership. Governance. Human development. Artificial intelligence. Consciousness. Civilization. They have never been separate subjects. They are different windows looking onto the same landscape.

Those questions have become seven books.

An eighth, Artificial Intelligence and Human Development, is taking shape as I continue exploring how artificial intelligence is reshaping every generation in profoundly different ways.

People often tell me I write about artificial intelligence.

I don’t.

I write about the human condition.

Artificial intelligence is one of the most powerful forces reshaping it.

The more I explored artificial intelligence, the more convinced I became that we are asking the wrong questions.

We ask what AI can do.

We ask whether it will replace jobs, diagnose disease, transform education, or surpass human intelligence.

Those questions matter.

But they are not the questions that keep drawing me back.

The question that has followed me for most of my life is far simpler.

What kind of human beings are we becoming?

That question lies at the heart of the book I am writing, Artificial Intelligence and Human Development.

The book isn’t primarily about technology.

It asks how artificial intelligence is changing the environments in which human beings develop.

Every generation encounters AI differently. A young child, a teenager, a university student, a parent, a teacher, a physician, a policymaker, and a grandparent are not living through the same technological revolution. Each is developing within a different environment, shaped by different expectations, opportunities, and challenges. Those environments influence how we think, how we learn, how we remember, how we solve problems, how we relate to one another, and ultimately the kind of civilization we build together.

That is why I believe human development has become one of the defining conversations of our time.

Children should never be discouraged from asking questions. Neither should adults.

Questions are how we discover the world.

They are also how we discover ourselves.

Every child who asks why? is doing far more than gathering information. A questioning child is learning how to think, how to wonder, how to challenge assumptions, and how to make sense of reality. Somewhere along the way, many of us stop asking those questions. We begin accepting easy answers, inherited beliefs, familiar assumptions, and the illusion that certainty is the same as understanding.

I think that is a profound loss.

We still know remarkably little about ourselves. We are only beginning to understand the extraordinary complexity of the human brain, the diversity of perception, the nature of consciousness, and the countless ways human beings experience the world. Every discovery about the universe also reveals something about us.

As we discover the world and its history, we are mapping humanity and our future at the same time.

This publication is an invitation into that exploration.

Some essays will draw on the ideas explored in the seven books I’ve already written. Others will emerge from my new book, Artificial Intelligence and Human Development, as I continue exploring how AI is reshaping every generation in profoundly different ways. Still others will begin with history, science, leadership, literature, or an ordinary moment that quietly reveals something extraordinary. Whatever their starting point, they will all return to the same enduring question:

What kind of human beings are we becoming?

I don’t promise answers.

I’ve learned that every answer opens another question.

But I do promise curiosity.

Because I have come to believe that curiosity is one of the most deeply human qualities we possess.

It is how children discover the world.

It is how civilizations advance.

It is how we continue becoming.

As we discover the world and its history, we are mapping humanity and our future at the same time.