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3.  While working on an AI project to predict weather patterns, what types of data would you collect, and where would you
                    source them?

                 Assertion and Reasoning Questions.
                 Direction: Questions 4-7, 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.
                  4.  Assertion (A): Processing and analysing visual data is the final step in Computer Vision systems.
                    Reasoning  (R):  After  analysing  visual  data,  machines  can  make  decisions  or  take  actions  based  on  their
                    understanding.

                  5.  Assertion (A): Virtue-based ethical frameworks focus on building good character traits, such as kindness and empathy,
                    in decision-making.
                    Reasoning (R): Virtue-based ethical frameworks prioritise maximising overall good and minimising harm through
                    ethical behaviour.
                  6.  Assertion (A): Ethics provide guidance in distinguishing right from wrong.        [CBSE Handbook]
                    Reasoning  (R): Ethics consist  of a set of values and morals that  aid individuals in making moral judgments and
                    decisions.
                  7.  Assertion (A): Value-based frameworks in ethics provide guidance by focusing on fundamental ethical principles and
                    values.                                                                             [CBSE Handbook]
                    Reasoning (R): These frameworks reflect different moral philosophies guiding ethical reasoning and are concerned
                    with assessing the moral worth of actions.


                                  In Life                                    21 st  Century   #Productivity and Accountability
                                                                                     #Communication
                                                                                 Skills

                   Artificial Intelligence (AI) is being used in many areas, like self-driving cars, making products, and even helping
                   with decision-making. As AI becomes more involved in our everyday lives, people are concerned about how much
                   we depend on it. While AI can improve efficiency and accuracy, there are worries about the risks of relying on it
                   for everything. Should we fully depend on AI, or is it important to keep human judgment and control in important
                   decisions? This ongoing debate shows both the advantages and risks of using AI.




                              Deep Thinking                                                21 st  Century   #Critical Thinking
                                                                                               Skills


                   1.   In your opinion, how can AI-based personalised learning platforms transform the way students learn? Do you
                      think these platforms can completely replace traditional classroom teaching? Why or why not?

                   2.   AI-powered devices like virtual assistants and smart thermostats make homes more convenient and efficient. In
                      your opinion, does the increasing use of AI in homes make life better, or does it raise concerns about privacy
                      and dependency?




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