Education in the Age of Intelligent Systems

Author’s Note:
This essay begins a new series exploring how education is changing in a world increasingly shaped by artificial intelligence, algorithms, and intelligent systems. Rather than focusing only on technology itself, this series asks a larger question:  Can educational institutions adapt to the environment students are now living inside?

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Part 1 – Innovation Is Not a Billboard

There are moments when a simple experience quietly rearranges the way we think about the world.

Recently, I attended an online webinar for a Masters of Legal Studies program offered through the law school at William & Mary University. I had registered for the same webinar before and never attended. This time I logged into the discussion thinking if this starts to lose me, I’ll sign off.

I stayed for the entire presentation.

What surprised me was not simply the program itself, but the mindset behind it.

At one point, someone asked about artificial intelligence and its role in the curriculum. The dean responded directly: AI use is not only permitted in the program, it is required, taught, and integrated into the learning process. She explained that graduates entering today’s workforce must understand how AI tools function, how they are being used professionally, and how they influence modern communication, persuasion, and decision-making.

That answer stayed with me.
This was not a technology company speaking.
This was not a startup accelerator or Silicon Valley conference.
This was one of the oldest universities in the United States — and yet it sounded remarkably future-oriented.

The experience forced me to reflect on a larger question:

What does educational innovation actually mean in the age of intelligent systems?

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For years, universities across America have embraced the language of innovation. Institutions promote themselves as forward-thinking, technologically advanced, and prepared to lead students into the future. Brochures and websites are filled with words like innovation, leadership, global impact, and transformation.

But slogans are easy.

The harder question is whether institutions are genuinely adapting to the world students are entering.

Artificial intelligence is no longer a distant possibility. It is already shaping:

• communication,
• hiring,
• research,
• marketing,
• software development,
• education,
• media,
• and increasingly, public perception itself.

The environment has changed.

The challenge for higher education is not whether AI exists. The challenge is whether universities are willing to prepare students to think clearly inside systems increasingly shaped by AI.

That distinction matters.

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One of the most interesting aspects of the webinar was that the discussion moved beyond the simplistic question of whether students should “use AI.”

Instead, the dean emphasized something far more important: students must learn to recognize when AI is influencing persuasion, emotions, beliefs, and decision-making.

That is a very different educational philosophy.

The conversation was not about shortcuts or replacing human thought. It was about developing awareness inside a rapidly changing information environment.

In many ways, that may become one of the defining literacies of the modern world.

Previous generations learned how to identify bias in newspapers, advertising, or television. Today’s students may need to understand how algorithms shape attention, how recommendation systems influence behavior, and how AI-generated content can subtly direct perception without people fully realizing it.

Those are no longer purely technological questions.
They are civic questions.
Educational questions.
Human questions.

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What struck me most in this webinar, was the contrast between institutional age and institutional adaptability.

We often assume older institutions are resistant to change while newer institutions are naturally innovative. But my experience challenged that assumption.

An institution founded before the United States existed appeared deeply engaged with the realities of the AI era, while many modern educational environments still seem uncertain about how to respond to these technologies.

To be clear, this is not an argument that universities should abandon academic integrity or encourage careless use of AI systems. Nor is it an argument that every educational concern about AI is irrational.

The questions surrounding authorship, critical thinking, originality, and assessment are legitimate and important.

But banning or ignoring transformational technologies does not make those technologies disappear.

The deeper challenge is determining how education evolves when information itself is no longer scarce.

For generations, schools operated in a world where access to information was limited. Today, students can generate summaries, explanations, outlines, and even complete drafts in seconds.

That reality changes the educational landscape whether institutions are comfortable with it or not.

The role of universities may now be shifting from controlling access to information toward developing judgment within an environment flooded with information.

And perhaps that is the real educational challenge of the AI era.

Not simply:

Can students produce answers?

But:

Can students think critically, ethically, and independently while intelligent systems increasingly shape the world around them?

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As I listened to the webinar, I realized something else quietly taking shape beneath the surface.

For the first time, I could genuinely see myself operating within the intellectual environment of law.

Not because I want to become an attorney. I do not.

But because the conversation itself felt connected to the world I already spend my time thinking and writing about:

• technology,
• human behavior,
• education,
• systems,
• persuasion,
• governance,
• and the future of public life.

That realization may have been the most important part of the entire experience.

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This essay is the first in a new series titled Education in the Age of Intelligent Systems.

In Part 2, I want to explore a question that emerged repeatedly during the webinar and has increasingly occupied my own thinking:

How do we teach students, or anyone for that matter, to recognize when intelligent systems are shaping their perceptions, decisions, emotions, and beliefs?

Because the future of education may depend not only on learning how to use technology, but on learning how to remain fully human while living inside it.