Vineeth K Kolarath
Not long ago, finding an answer took time.
You had to look through a book, ask someone who knew, visit a library or work things out for yourself. Sometimes, finding the answer was the hardest part.
That has changed.
Today, a search can bring up hundreds of answers in seconds. Ask an AI assistant, and you may get a neatly written response almost immediately.
But there is something worth thinking about here.
When answers become easier to find, knowing what to ask becomes even more important.
Answers depend on questions
The question you ask shapes the answer you receive.
Ask something very broad, and you will probably get a broad response. Give a little context and explain what you are trying to understand, and the answer has a much better chance of being useful.
Imagine two students using an AI assistant to study photosynthesis.
The first types:
"Explain photosynthesis."
The second asks:
"I understand that plants use sunlight to make food. But I do not understand where the oxygen comes from. Is it from the carbon dioxide or from the water?"
Both students may receive a useful explanation. But the second question gives the assistant something important: it shows what the student already understands and exactly where the confusion lies.
That makes it easier to explain the missing piece.
This is one of the quiet advantages of asking a good question. You have already done some thinking before the answer arrives.
In Use AI as a Mentor, Not an Answer Machine, I wrote about how the same tool can either hand you an answer or help you learn. The way you approach it makes a difference. And that often begins with the question.
What makes a question good?
There is no single formula. A good question does not have to sound clever or complicated. Often, the simplest questions are the most useful.
But a few qualities can help.
It is specific.
"How does a computer work?" is a very large question. It could lead in dozens of directions.
"How does a computer remember a number after the power is switched off?" gives us something much clearer to explore.
It tells us what you already know.
"I understand this part, but I am confused about what happens next" is a useful way to begin.
It helps the person answering understand where you are coming from, rather than starting the explanation from the beginning.
It asks for understanding, not just information.
"What is the formula?" may give you the formula.
"Why does this formula work?" takes you a step further.
There is nothing wrong with asking what something is. But asking why and how often leads us towards a deeper understanding.
It invites us to examine the answer.
"Where does this number come from?" or "How could I check this?" encourages us to look beyond a confident-sounding statement.
Not every good question has an immediate or measurable answer. Some questions help us explore an idea, notice a gap in our understanding or look at a problem from another direction.
It is worth spending time on.
A useful question can change what you understand, what you investigate or what you decide to do next. Sometimes, it can even make you realise that you were looking at the wrong problem.
Engineers start with questions
In engineering, it is tempting to move quickly from an idea to building something.
But before designing a solution, an engineer needs to understand the problem.
Who is facing it? What exactly is going wrong? What should the solution achieve? What limits must we work within? What could happen if something fails?
These questions may seem like a delay. In practice, they can save a great deal of wasted effort.
Imagine a team building a clever device, only to discover that it does not solve the problem people actually have. The technology may work perfectly. The original understanding of the problem was wrong.
That is why engineers spend time understanding requirements before committing to a design.
In Automate a Process, Not a Job, I suggested writing down a process before trying to automate it. That exercise is really a way of asking questions.
What happens first? What information is needed? What happens when something unusual occurs? What should happen if a step fails?
The same habit is useful far beyond engineering.
A doctor's questions help build an understanding of a patient's condition. A teacher's questions can reveal what a student has understood. A researcher's questions help define what needs to be investigated.
Different fields, same starting point: understand the problem before rushing towards an answer.
Different questions open different doors
It helps to recognise that questions can serve different purposes. Each kind helps us look at a subject in a different way.
Clarifying questions.
"What do you mean by that?" or "Can you give me an example?"
These help us make sure we have understood something before moving on.
Why questions.
"Why does this happen?" or "Why did they choose this method?"
These take us beyond a description and towards the reasons behind it.
What-if questions.
"What if the input doubles?" or "What if the sensor stops working?"
These help us explore possibilities and see whether an idea still works under different conditions. Engineers use this kind of thinking regularly.
How-do-we-know questions.
"Where does this number come from?" or "Who checked this?"
These remind us not to accept a claim simply because it sounds convincing.
Who-is-responsible questions.
"Who makes this decision?" or "Who checks it when something goes wrong?"
These become especially important when decisions are made with the help of machines and automated systems.
You do not need to memorise these categories. The important thing is to become comfortable asking different kinds of questions, depending on what you are trying to understand.
Why asking can feel difficult
If questions are so useful, why do so many students hesitate to ask them?
Sometimes, it is simply fear.
Fear of looking foolish in front of the class. Fear that the question is too simple. Fear of interrupting the teacher. Or the feeling that everyone else has understood something that you have not.
A classroom can unintentionally make this worse. When only correct answers receive attention and praise, students may begin to think that asking a question is an admission of failure.
But not understanding something is not a failure. Pretending to understand it is much more likely to get in the way of learning.
A question asked aloud may also help several other students who were wondering about the same thing but did not have the confidence to speak.
There is a story about the physicist Isidor Rabi, who received the Nobel Prize in Physics in 1944.
He reportedly said that while other mothers asked their children what they had learned at school, his mother asked him a different question:
"Did you ask a good question today?"
Rabi later credited that habit with helping shape his interest in science. The US National Park Service recounts the story.
Whether we remember the exact words or not, there is a lesson worth holding on to.
What we encourage children to do matters. If we value curiosity, we should make room for questions, not just correct answers.
The questions students already ask
I saw this clearly after a talk in Kannur.
When the talk ended, students gathered around with questions of their own.
How will AI affect our lives? What does it cost the climate? How can our privacy be protected? What if AI starts copying itself?
I wrote about those questions in Questions Students Asked Me About AI.
What struck me was that these were not questions about completing an assignment or preparing for an examination. The students were trying to understand the world they are growing up in.
They had listened to a talk about AI, but their curiosity had taken them much further.
That is what I find encouraging. The ability to ask meaningful questions is already there. Often, it just needs the space and encouragement to come out.
Questions to ask about any machine
In What Is a Thinking Machine?, I suggested four questions to ask about any machine that seems clever:
What does it notice? How does it decide? What did it learn from? Who checks it?
You do not need to be an engineer or a computer scientist to ask these questions. You only need to be willing to look beyond what a machine appears to do.
As AI tools become part of everyday life, this habit becomes increasingly useful.
When an AI assistant gives you an answer, ask: How do you know? What evidence supports this? Could something be missing? Who should check it?
Asking these questions does not guarantee that you will never be misled. But it gives you a reason to pause, examine the answer and look for evidence before accepting it.
That is a habit worth developing.
A word to parents and teachers
If we want young people to ask better questions, we have to make asking feel safe and worthwhile.
A few small changes can make a difference.
After explaining something, pause. Give students a little more time to think before expecting an answer.
When a student asks a question, take it seriously, even if it seems simple. Sometimes, that simple question reveals a misunderstanding that has been sitting quietly in the classroom.
Ask students to write down questions, not just answers. Some may find it easier to put their thoughts on paper before speaking in front of everyone.
And when a student asks a particularly thoughtful question, explain what makes it useful. That helps the whole class recognise the value of good questions.
At home, there is a simple question from Rabi's story that parents can borrow.
Instead of asking only, "What did you learn today?", try asking, "What did you wonder about today?"
It may lead to a more interesting conversation.
Try this
For one week, keep a small notebook for questions.
Not answers. Questions.
Each day, write down one thing you wondered about. It could be something you saw, read, heard or simply could not understand.
At the end of the week, choose one question and rewrite it three times. Each time, try to make it a little clearer.
Make it more specific. Add what you already know. Ask why or how, if that is what you really want to understand.
Then look for an answer. Use a book, ask someone who knows, explore it yourself or try an AI tool.
Pay attention to what happens when you give the question a little more thought. Does the answer become clearer? Does it lead you to another question?
You may discover that the first question was not quite the one you needed to ask.
In my first essay, Bring a Rough Idea, I asked you to bring a rough idea.
This time, bring your sharpest question.
Answers are easier to find than ever. But a good question still begins with your own curiosity.