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B.  Long answer type questions.

                     1.   Explain the historical evolution of Artificial Intelligence (AI) from its inception in 1956 to its current state.
                    2.   List and describe all stages of image recognition process.

                    3.   How does an Information Retrieval (IR) system work?
                    4.   Explain the concept of dialogue systems.
                    5.    What are the applications of AI in healthcare? Provide examples of how AI is used for disease diagnosis and
                        treatment.

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                 C.  Competency-based questions:     HOTS                                         Century   #Digital Literacy
                                                                                                   Skills
                     1.     Anita is researching AI for autonomous vehicles. She is interested in how self-driving cars detect obstacles and
                        make decisions while navigating city streets. How do AI systems in autonomous vehicles ensure safe navigation
                        on the roads?

                    2.    Geeta is working on AI for detecting fraudulent transactions in an online shopping platform. She needs the
                        system to recognise abnormal purchasing patterns. How does AI help in detecting fraudulent transactions?

                        Assertion and Reasoning Questions:
                          Direction: Questions 3-4, consist of two statements – Assertion (A) and Reasoning (R). Answer these questions
                        by selecting the appropriate option given below:
                        a. Both A and R are true and R is the correct explanation of A.
                        b. Both A and R are true but R is not the correct explanation of A.

                        c. A is true but R is false.
                        d. A is false but R is true.
                    3.  Assertion (A): Deep Learning models require more computational resources than traditional machine learning
                        models.
                        Reason (R):  Deep  learning  models  use  multiple  layers  of  neural networks,  making  them  computationally
                        intensive.

                    4.  Assertion (A): AI can predict future events with complete certainty.
                        Reason (R): AI makes predictions based on historical data and patterns but cannot guarantee 100% accuracy.
                        Statement-based questions

                        Direction: Questions 5-6, two statements are given: Statement 1 and Statement 2. Examine the statements and
                        mark the correct option:

                        a. Statement 1 is true, Statement 2 is true
                        b. Statement 1 is false, Statement 2 is false
                        c. Statement 1 is true, Statement 2 is false

                        d. Statement 1 is false, Statement 2 is true
                    5.  Statement 1: AI systems use reinforcement learning to improve performance through trial and error.
                        Statement 2: Reinforcement learning is a type of unsupervised learning where models are trained on labelled
                        data.
                    6.  Statement 1: AI algorithms are used to process natural language and enable speech recognition.
                        Statement 2: Speech recognition systems powered by AI can only recognise a few languages.






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