Welcome to my Audio section.

Before I tell you what I want to talk about here, perhaps I should begin with a simple question.

When a new technology enters our lives, what really changes?

Is it only the technology?

Or does something also change in us?

The way we think. The way we learn. The way we make decisions. The way we work with other people. And perhaps even the way we understand our own abilities.

These are the kinds of questions I want to explore in this space.

I do not want this to become another place for technology news, product reviews or predictions about what AI will do next year. There are already many places for that.

I want to do something different here.

I want to use this space to think aloud.

To take an observation from real life, from professional practice, from teaching, from research, or sometimes simply from something that makes me uncomfortable, and examine it more carefully.

Sometimes that may lead to an idea. Sometimes to a proposition. Sometimes to a question for which I genuinely do not know the answer.

And I think that is important.

Because today we live in a world where answers arrive very quickly.

We can ask an AI system a question and receive a confident answer within seconds.

But speed of answer does not always mean depth of understanding.

And perhaps one of the things we need more of now is not faster answers. Perhaps we need better questions.

My professional life has taken me through technology, enterprise architecture, digital transformation, artificial intelligence and education.

But behind all of these areas, I keep coming back to a few fundamental questions.

What happens to human capability when machines become more capable?

What happens to judgement when systems begin making recommendations for us?

What happens to responsibility when a decision is partly human and partly machine?

And what happens to knowledge when it moves between people, organisations, technologies, cultures and languages?

That last question is particularly close to me.

Bengali is my mother tongue.

My university education was in French.

And much of my professional life has been conducted in English.

Moving between languages has taught me that knowledge does not always travel perfectly.

You can translate the words and still lose part of the meaning.

You can transfer information and still lose the context.

And I think something similar happens with technology.

A system can become more intelligent while the people using it understand less about how the result was produced.

An organisation can become more automated while responsibility becomes less visible.

A student can reach the correct answer while learning less from the journey.

Those contradictions interest me.

So this Audio space will be a place for exploring them.

The recordings will normally be short.

I may begin with something I have observed.

Then I will try to identify what I think is missing.

I may give that idea a name.

I may propose an explanation.

But I also want to challenge my own argument.

What if I am wrong?

What evidence would contradict the proposition?

How could we test it in a real organisation, a classroom, a technology environment, or perhaps simply in our everyday lives?

And I want to leave some questions open.

Because I do not want this to be a one way conversation.

You may agree with me.

You may disagree completely.

You may have an example that strengthens the idea.

Or you may have an example that destroys it.

Both are valuable.

And if the evidence changes, I want to be able to return to an earlier recording and say that my thinking has changed.

For me, that is not a problem.

That is part of thinking seriously.

So this Audio section is not intended to be a collection of finished answers.

It is a place for ideas under examination.

For questions worth spending time with.

For propositions that can be challenged.

And hopefully, for conversations that continue after the recording has finished.

Thank you for being here.

In the next recording, I want to begin with a question that has been occupying my mind for some time.

When artificial intelligence helps someone produce better work, where does the capability actually reside?

In the person?

In the AI?

In the prompt?

In the process?

Or somewhere between all of them?

That will be our first proposition.

And that is where we will begin.