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SECTION B (Subjective Type Questions)

              A.  Short answer type questions:
                  1.  What is INDIAai?
                Ans.  INDIAai is the National AI Portal of India. It is a central hub for everything related to AI in India. It is a joint
                    initiative of MeitY, NeGD and NASSCOM.

                  2.  What is the reason for big companies establishing their AI labs in India?
                Ans.  The favourable ecosystem, economy and the vast pool of talent in India have brought many big companies of the
                    world like Google, Microsoft, IBM, etc. to set up their research centres and AI labs in India.

                  3.  Name three different Domains of AI?
                Ans.  The three different Domains of AI are:
                    •  Data Statistics
                    •  Natural Language Processing
                    •  Computer Vision
                  4.  What is Natural Language Processing?
                Ans.  NLP is the ability of machines to read, understand and analyse meaning from human language.
                  5.  What is the concept of computer vision?
                Ans.  Computer vision is used to train computers to read, process and analyse visual data in the same way as humans do.

                  6.  Define the term confusion matrix.
                Ans.  Confusion matrix is a tabular structure that helps in measuring the performance of an AI model using the test data.
                  7.  How does AI help in the agriculture field?

                Ans.  AI can help farmers to get more from the land, and use resources more sustainably. Blue River Technology developed
                    a robot called See & Spray, which uses computer vision and image recognition software to monitor and precisely spray
                    pesticide on cotton plants. Plantix mobile app uses AI-powered image recognition software to help farmers to detect
                    plant diseases.
                  8.  What do you understand by the evaluation stage of the AI project cycle?

                Ans.  Evaluation is a process that critically examines a program. It involves collecting and analysing information about a
                    program's activities, characteristics, and outcomes. Its purpose is to make judgments about a program, to improve its
                    effectiveness, and/or to inform programming decisions.

                  9.  What is the black box problem?
                Ans.  The system uses a huge data bank to learn and produce results. There is no way to understand how the system is
                    working, what exactly the algorithm is doing, and what method it is using during the process. Since there is no insight,
                    it is called a black box problem. This happens because the data that the AI system is working on, goes through a lot of
                    neural nodes which mutates it, making it extremely difficult to determine the working and the source of the problem.
                 10.  List the categories in which the AI systems are classified.
                Ans.  AI can be classified into three categories:
                    •  Weak AI
                    •  Strong AI
                    •  Super AI
                 11.  Why is data considered an important source of AI bias?
                Ans.  The dataset for AI systems should be realistic and need to be of a sufficient size. However, the largest data collected
                    from the real world may also reflect human subjectivity and underlying social biases.



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