Ethical boundaries to detecting deepfakes: NCERT introduces 20-hour AI module for classes 9-12

NCERT has introduced an activity-based introductory module on computational thinking and artificial intelligence for students in classes 9 to 12. The module matters because AI is increasingly present in everyday applications, yet its outputs can be inaccurate, limited, or unsafe. Students are encouraged to question and evaluate AI instead of accepting its answers automatically.

The module covers how machines learn from examples, common AI applications, deepfake detection, data privacy, misinformation, fairness, and digital safety. Students learn through discussions, practical exercises, experimentation, and reflection. Activities can take place with or without digital devices, making participation possible in different school settings.

NCERT developed the module in consultation with IIT Madras and IIT Jodhpur. It is designed for learners without prior AI knowledge and aims to strengthen critical thinking, creativity, problem-solving, and responsible technology use. The module also stresses that human judgement, creativity, and ethical responsibility remain central to learning.

Computational thinking is a systematic approach to solving problems. It helps learners break problems into manageable parts, identify useful information, and develop logical solutions. Artificial intelligence refers to computer systems designed to perform tasks that normally require human-like abilities, such as learning from examples, recognising patterns, or generating information. The module introduces both ideas together.

For example, students may examine how a system learns from examples and then discuss where that system could be used. They can also test or question an AI-generated result. The key mechanism is that AI uses patterns in data or examples to produce an output, while computational thinking helps students examine the problem and the result systematically.

NCERT’s module is for beginners. It presents applications, possibilities, and limitations through practical exercises, discussions, experimentation, and reflection. This approach aims to build critical thinking, creativity, problem-solving, and responsible evaluation rather than passive reliance on technology.

NCERT’s new module is 20 hours long. It is intended for students in classes 9 to 12, covering the secondary and higher-secondary years. Its scale is limited enough to serve as an introduction, but broad enough to address AI concepts, everyday applications, privacy, misinformation, fairness, and safe technology use.

The module does not assume that students already understand artificial intelligence. Instead, it starts with basic computational thinking and explains how machines learn from examples. Learners then explore practical situations, discuss possible uses, try activities, and reflect on what AI can and cannot do. This beginner-friendly structure makes the subject more accessible.

NCERT developed the material in consultation with IIT Madras and IIT Jodhpur. Activities can be completed with or without digital devices, supporting participation across diverse school contexts. The intended result is not simply familiarity with AI, but confident and careful use, including checking information and recognising ethical responsibilities.

The module uses activity-based learning to make AI understandable through action. Students do not simply read about artificial intelligence. They take part in discussions, practical exercises, experimentation, and reflection. This matters because working through examples can reveal both how AI functions and where its answers may fail.

A class might explore how machines learn from examples, examine an AI-generated response, or discuss whether information is trustworthy and fair. The mechanism is experiential learning: students interact with a problem, observe an outcome, question it, and think about responsible use. Activities can be conducted with or without digital devices, so learning is not restricted to schools with extensive technology.

The approach supports critical thinking, creativity, and problem-solving. It also helps students become informed and confident users who evaluate AI outputs rather than relying on them without verification. NCERT connects these practical activities with data privacy, misinformation, fairness, digital safety, and ethical responsibility.

The module teaches deepfake detection because AI-generated content can make misinformation harder to recognise. Students need to understand that an apparently convincing image, video, or other result is not automatically true. Learning to verify information helps them avoid accepting or sharing misleading material without checking it.

In practice, students can examine AI-generated information critically and discuss whether it is reliable. They may compare claims with evidence, look for signs that content needs checking, and reflect on the consequences of treating generated material as fact. The key mechanism is verification: human judgement evaluates an AI output instead of allowing the system’s result to stand unchallenged.

NCERT places this work within ethical and safe AI use. The module covers misinformation, fairness, data privacy, and digital safety. It aims to produce careful, confident, creative, and responsible users who understand that AI has limitations. The broader message is that human judgement and ethical responsibility remain essential.

AI can create ethical risks when it uses personal data or affects people through automated outputs. The module therefore highlights data privacy, misinformation, fairness, and digital safety. Personal information needs protection, while decisions influenced by AI should be examined for unfair effects. Students are taught to recognise these concerns rather than treating technology as automatically neutral.

For example, an AI system might produce a result that appears confident but contains misinformation or treats people unfairly. Students can question the result, consider whose data or experiences shaped it, and decide whether it needs verification. The key mechanism is critical evaluation: people remain responsible for checking an AI system’s information, limits, and consequences.

NCERT’s approach connects ethical awareness with practical learning. Students discuss, experiment, and reflect on responsible technology use. The module reinforces that human judgement, creativity, and ethical responsibility remain central to learning. It seeks informed users who protect data and respond carefully when AI-generated information may cause harm.

AI systems learn from examples by examining data and identifying patterns within it. They use those learned patterns to produce an output, such as a classification, prediction, or generated response. The article introduces this idea by asking students to understand how machines learn from examples, but it does not describe a specific algorithm or training process.

A system can still be wrong if its examples are incomplete, misleading, or unfair, or if the new situation differs from what it learned. An output may also appear convincing while containing misinformation. Students therefore need to check results, consider limitations, and avoid relying on AI without verification. Computational thinking supports this careful examination.

NCERT’s module makes these limits part of beginner-level learning. Through practical exercises, experimentation, discussion, and reflection, students explore AI’s applications and possibilities while recognising its boundaries. The intended outcome is responsible evaluation, with human judgement, creativity, and ethical responsibility guiding decisions.