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c.   Machine Learning Techniques for Energy Forecast: Tech companies use satellite data and machine learning
                  algorithms to predict energy production.

            8.  What is the impact of AI in social media?
          Ans.  Following are impacts of AI on social media:
              •  Facebook, a social networking site to connect with family and friends uses AI to help your Newsfeed perform
                better. It uses machine learning for classification, ranking and content understanding services.
              •  Twitter uses AI to keep a check on inappropriate and objectionable content. It uses deep neural networks to
                keep up with the user’s preferences.
              •  Instagram uses data and AI for target advertisement, reporting offensive content and cyberbullying.
              •  Chatbots use NLP to recognise words or phrases to deliver commonly asked questions with accuracy.
            9.  What is the application of AI in healthcare?

          Ans.  For saving human lives, the medical industry is relying on AI on many fronts. Healthcare organisations are using IBM
              Watson for medical diagnosis. Google’s DeepMind has successfully developed a system that can analyse retinal scans
              and spot symptoms of sight-threatening eye diseases. AI is used in diagnostic centres in analysing samples of tissues
              and giving accurate results.

           10.  What are issues and concerns related to AI?
          Ans.  Following are the concerns related to AI:
              •  Job Loss: With more machines being used for day-to-day work, the fear of unemployment is increasing.
              •  Personal Privacy: The cameras installed use facial recognition to identify you in the crowd. You are being
                followed and recorded everywhere without information.
              •  AI  can  make  mistakes:  Microsoft’s  chatbot-Tay  and  Uber  using  self-driven  cars  are  some  of  the  famous
                mistakes made by AI.


        C.  Competency-based/Application-based questions:
            1.  If a person develops an AI algorithm, would his/her bias get reflected in the AI algorithm? For example, if an American
              developer develops an AI algorithm which is trained for his accent only, is it not a bias for people with different accents?

          Ans.  Yes, the biases of the developer of the AI algorithm is reflected. The best example of this can be seen when we search
              for “Places to buy white formal shirts”, it always gives listing of brands like Raymonds, Peter England that have expertise
              in men’s collection.

            2.  If  you’ve  ever  used  Amazon’s  Alexa,  Apple’s  Face  ID  or  interacted  with  a  chatbot,  you’ve  interacted  with  artificial
              intelligence  technology.  AI  technology  actually  hasn’t  been  around  that  long.  In  fact,  it’s  only  in  the  past  decade
              has artificial intelligence evolved into technology like facial recognition and autonomous cars. Answer the following
              questions:

              a. What are chatbots?
              b. Name the domain of AI that Alexa belongs to.
              c. Name the domain of AI that Facial recognition belongs to.

              c. Mention one disadvantage of using AI.
          Ans.  a.  A chatbot is a computer program that simulates human conversation through voice commands or text chats or both.
                b. Natural Language Processing
                c. Computer Vision
                c. Biasness, Ethics




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