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OUR DIRECTION · ARTIFICIAL INTELLIGENCE

Artificial Intelligence and the Work of Building Capacity

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AI can widen access to explanation and technical assistance. Its lasting value depends on what people learn to understand, test, and do with that assistance.

AN INSTITUTE PERSPECTIVE · PLANNED AREA OF STUDY

A practical opportunity for Afghanistan

A useful discussion of artificial intelligence begins with a problem worth solving. A student needs a difficult passage explained. A teacher needs alternative examples for a lesson. A small business needs to organise information before making a decision. In these situations, an AI tool may offer a starting point that would otherwise take more time or require assistance that is difficult to obtain.

For Afghanistan, the educational promise lies partly in making some forms of assistance more accessible. Where specialist instruction, learning materials, or technical support are limited, AI could help learners explore a subject, compare explanations, practise a language, or work through an unfamiliar digital task. These are possibilities to develop and evaluate, not evidence that a national skills gap has already been closed.

Access to an answer is not mastery

A fluent answer can be wrong. A plausible translation can distort a qualification. A proposed calculation can contain an error that is difficult to notice without mathematical knowledge. The person using the tool therefore needs enough understanding to ask a useful question, examine the result, and decide when an independent source or a qualified professional is required.

Consider a learner studying accounting. An AI system might generate an explanation of a financial statement and several practice questions. That can support study. It does not establish that the learner can recognise an incorrect classification, reconcile a record, or justify a treatment. The educational task is to use assistance in ways that develop those abilities, rather than conceal their absence.

Build knowledge around the tool

AI can help narrow some gaps in access to information and practice. It cannot, by itself, repair shortages of electricity, connectivity, affordable devices, qualified teachers, or opportunities to apply knowledge. Nor does it remove the importance of language, numeracy, scientific reasoning, and professional standards. These foundations make a tool more useful because they make its output easier to question.

A serious programme of AI education should connect practical use with verification, privacy, and responsibility. Learners should practise checking a source, distinguishing a suggestion from evidence, protecting confidential information, and explaining which decisions remain their own. They should also recognise when a task is better completed without AI.

The purpose of our planned study

We plan to approach artificial intelligence as a field of useful methods and consequential questions. The aim is to help learners become more capable in their work, including the work of judging a machine-generated answer. For Afghanistan, that is a more credible ambition than promising an automatic leap beyond every constraint: wider access to assistance, joined to deeper knowledge and greater responsibility.