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India’s NCERT Rolls Out AI Module for Classes 9–12; Covers Deepfakes and Data Privacy

The module uses hands-on activities to help students understand how AI works, recognise its limitations and evaluate AI-generated information critically. It also emphasises responsible AI use, data privacy and deepfake detection.
Entrance gate of the National Council of Educational Research and Training (NCERT) campus, with the NCERT signboard and surrounding trees.
October 26, 2026 12:46 PM IST | Written by Supriya Singh | Edited by Pratima O Pareek

India’s National Council of Educational Research and Training (NCERT) has released a 20-hour introductory module on computational thinking and artificial intelligence (AI) for classes 9-12, covering everyday AI applications, machine learning, deepfake detection, data privacy and the verification of AI-generated information.

Developed by NCERT with faculty members from IIT Madras and IIT Jodhpur, the module aims to help students understand how AI works, its applications, possibilities and limitations.

It focuses on critical thinking, creativity, problem-solving and the responsible use of emerging technologies.

“No prior knowledge of AI is assumed,” the module states.

It introduces concepts through classroom discussions, hands-on activities, experimentation and reflection. Computational thinking is presented as a systematic approach to problem-solving, helping students break down problems into manageable steps and identify patterns.

The module is organized into five units covering AI in everyday life; how machines learn; why AI gets things wrong; data privacy and responsible AI use; and modern AI tools.

Activities can be conducted using individual or shared digital devices, through teacher demonstrations, or offline using paper and discussion, allowing schools to adapt them to available resources.

Its third unit, “When AI Gets It Wrong”, covers deepfakes and synthetic media through an activity called the “Spot the Manipulation” gallery walk. Students also learn to verify AI-generated information rather than trust answers simply because they sound convincing.

Also Read: Exclusive: After NEET-UG Paper Leak, NTA DG Abhishek Singh on How Human Review of AI Work will Tighten Exam Security

A five-step verification method – source, claim type, comparison, pause and confidence- that helps students assess AI-generated information. A “Hallucination Hunt” activity teaches them to identify inaccurate AI responses.

Students also explore how training data affects AI performance by training an image classifier on familiar objects and testing it on unfamiliar examples.

The module highlights data privacy, cautioning students against sharing sensitive information such as Aadhaar or PAN numbers, passwords, one-time passwords (OTPs), bank details and personal documents with AI tools.

It aims to help students become informed and responsible users of technology, reinforcing that technology can extend human capabilities, while judgement, creativity, responsibility and ownership of learning remain with the learner.

Also Read: Important for Teachers to Learn AI: India’s Education Secretary to AI FrontPage

Authors

  • AI FrontPage Reporter Supriya Singh

    Supriya Singh is a Reporter at AI FrontPage covering the AI & Education and AI & Jobs beats. She brings six years of print and digital experience, including three years at The Asian Age, where she reported on higher education, Delhi government, and crime. She is based in Delhi-NCR.

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  • Pratima Pareek, Editor and Co-founder of AI FrontPage

    Pratima O Pareek is an Editor and Co-Founder of AI FrontPage. A gold medalist in Mass Communication and Journalism, she's worked across national and international newsrooms, bringing sharp editorial instincts and a commitment to clarity. She believes in cutting through the noise to deliver stories that actually matter.
    Off the clock, she watches offbeat cinema, follows tennis, and explores new places like a traveler, not a tourist.

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