The WB Board 2026 Class 12 Artificial Intelligence Question Paper with Solution PDF is available here. The WBCHSE Artificial Intelligence exam was scheduled for February 2026, during the Morning Session from 10:00 AM to 12:00 PM.
The paper was technical and logic-oriented, maintaining a moderate to high difficulty level. While questions on AI Ethics and Data Features were accessible, the sections involving Machine Learning algorithms, Neural Network architectures, and Python programming for AI required strong analytical skills. Students aiming for top grades should target a score between 80–95 marks, ensuring accuracy in mathematical logic and a clear understanding of the AI project cycle and natural language processing.
WB Board 2026 Class 12 Artificial Intelligence Question Paper with Solution PDF
| WB Board 2026 Class 12 Artificial Intelligence Question Paper with Solution PDF | Download PDF | Check Solutions |

Explain the 10 stages of the Foundational Methodology for Data Science.
Why is the "Business Understanding" stage considered the most critical phase of an AI project?
Define the 5 Vs of Big Data: Volume, Velocity, Variety, Veracity, and Value.
Describe the five stages of Design Thinking: Empathize, Define, Ideate, Prototype, and Test.
Differentiate between Supervised and Unsupervised Learning with real-world examples.
Explain the concept of Linear Regression and the role of the Mean Squared Error (MSE) loss function.
What is the Gradient Descent algorithm and how does it help in model optimization?
Explain the purpose of the Train-Test Split technique in evaluating model performance.
Explain the biological motivation behind Artificial Neural Networks (ANN).
Define Computer Vision and list its primary pipeline stages (Acquisition, Preprocessing, Feature Extraction).
Explain the Turing Test and its significance in measuring machine intelligence.
Discuss the major ethical issues in AI, such as Bias, Privacy, and Accountability.
What is a Confusion Matrix, and how do you calculate Accuracy, Precision, and Recall from it?



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