The Conditions That Allow Intelligence to Flourish

We often recognise intelligence through what a person can do: solve a problem, connect ideas, explain a difficult concept or adapt when circumstances change. These performances reveal cognitive capability, but they do not tell us whether that capability can be fully exercised in every environment.

A student may notice a flaw in an explanation and remain silent. A researcher may question an established interpretation but hesitate to raise the objection. An employee may see a risk that others have overlooked and decide that mentioning it is not worth the cost. In each case, the capacity to think is only part of the story. The conditions surrounding the person influence whether thought becomes inquiry, judgment or action.

Manjaly’s discussion of artificial intelligence offers a useful starting point by examining intelligence through cognitive functions rather than treating it as a mysterious quality exclusive to humans. That shift invites a complementary question about people: beyond what can someone do, what allows them to question, interpret and learn?

Capability is what intelligence can do. Conditions determine how far that capability can develop and what it can accomplish.

From producing answers to exercising judgment

AI makes the distinction between capability and judgment more visible. A system can retrieve information, identify patterns and generate explanations. Those capabilities may expand what a person can attempt, but they do not establish whether the right question was asked, an assumption was tested or the consequences of a proposed answer were understood.

The same issue appears in education. A correct answer may reflect understanding, a memorised procedure or assistance that the learner cannot independently evaluate. The answer alone does not reveal which. Learning therefore needs opportunities to explain reasoning, identify assumptions and revise a conclusion when the evidence changes.

AI can support that process when it helps learners compare explanations, explore alternatives and receive feedback. It can undermine the process when it becomes a way to complete work without engaging with the thinking the work was meant to develop. The important distinction is not simply whether a tool is used, but whether the learner remains responsible for judgment.

Curiosity needs room to become inquiry

Curiosity is not enough on its own. To become inquiry, it needs time, access to ideas and permission to investigate questions whose answers are uncertain. A student may wonder whether a textbook explanation is incomplete, but whether that thought becomes a question depends partly on the response they expect from the classroom.

When asking carries a social or professional cost, curiosity can remain unexpressed. When questions are treated as a normal part of learning, uncertainty becomes something to investigate rather than conceal. This does not require rejecting established knowledge. It means understanding why a claim is accepted, what evidence supports it and when it might need revision.

Education transmits knowledge, but it should also help learners evaluate knowledge. That second task depends on whether students have meaningful opportunities to question, compare explanations and participate in the reasoning behind an answer.

When authority limits thought

In his related article, “Why India can’t win Nobel prizes without questioning the ‘competent authority’”, published in The Hindu on 21 October 2026, Manjaly turns to the social and institutional conditions that shape original thinking. He examines how deference, hierarchy and the perceived cost of disagreement can influence whether people question accepted claims.

The implications extend beyond scientific research. If disagreement is treated as disrespect, a question becomes a social risk before it becomes an intellectual one. Silence, in turn, can be misread as agreement or understanding. A quiet classroom or meeting may contain confidence, confusion, doubt or objections that people have decided not to express.

Respect for expertise matters, but expertise is not the same as unquestionable authority. Expertise gives us reasons to take a claim seriously; it does not remove the need to examine its evidence. Intellectual independence is not reflexive opposition. It is the ability to ask what supports a conclusion and to revise a view when the reasons warrant it.

Institutions shape what can be discovered

Original work depends on more than individual talent. Research requires people to test hypotheses, report inconvenient results, discuss uncertainty and reconsider interpretations. Teams need ways to surface errors before they become embedded in larger decisions. These conditions cannot guarantee discovery, but their absence can prevent promising questions from receiving serious examination.

This makes institutional design part of the environment in which intelligence is exercised. Who can raise a concern? How are mistakes handled? Can a junior researcher question a senior colleague’s interpretation? Does disagreement lead to scrutiny of the evidence, or to a judgment about the person who raised it?

Psychological safety is not freedom from criticism or demanding standards. It is the ability to take part in serious inquiry without expecting humiliation or arbitrary punishment for asking a question, admitting uncertainty or identifying an error. The purpose is to direct scrutiny towards ideas, evidence and decisions rather than to make scrutiny itself socially dangerous.

When people conceal doubt or avoid reporting failure, institutions lose access to information they need to learn. When errors and disagreements can be examined constructively, they have a better chance of correcting assumptions and improving decisions.

Designing for intelligence, not just performance

Adding knowledge, tools and training is valuable, but it does not settle whether people can use those resources well. Education needs to make reasoning visible. Research needs practices that allow uncertainty and failure to be discussed. Organisations need to know whether employees can surface problems that challenge a preferred explanation.

The same principle applies to AI adoption. Access to a capable system expands the tasks people can attempt; it does not automatically supply the judgment, incentives or working practices required to use it responsibly. The surrounding environment influences whether assistance strengthens independent capability or substitutes for it.

Institutions do not need to accept every objection or abandon expertise. They need to make fair examination possible, including when a claim comes from someone influential. That means asking for reasons, making the basis of decisions visible and treating informed challenge as part of serious work.

As AI makes some forms of answer production easier, the ability to frame a meaningful question, evaluate an answer and decide what deserves to be done becomes more consequential. The task is not only to develop capable individuals, but to create environments in which capability can be exercised, tested and improved.