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C1Süni intellekt · Öyrənmə · Texnologiya10 dəq oxu

Data literacy in the age of generative AI

Fluent answers can conceal uncertain sources, making interpretation and provenance as important as access.

Beyond reading a chart

Data literacy once centred on interpreting tables, samples and statistical claims; generative AI adds systems that transform data into fluent narrative. Fluency can make an answer appear more certain than the underlying evidence permits. Users therefore need to distinguish clarity of expression from quality of evidence.

Interrogate the pipeline

Responsible interpretation asks who collected the data, which populations are missing and what transformations occurred before the result appeared. It also recognises that a model can reproduce historical patterns without understanding whether those patterns are fair or current. In this environment, data literacy becomes a form of civic agency rather than a specialist technical skill.

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UNESCO IIEP — Data literacy in the age of generative AI

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