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2.  AI enables devices to accept commands in different
                  modes, such as text or audio, making their use easier.
              3.  AI-enabled devices can be used in areas which may

                  be dangerous for humans or require critical decision-
                  making based on the situation, such as firefighting,
                  surgery,  handling  toxic substances,  and managing
                  traffic.
              4.  AI enables computers and machines to learn new capabilities and use them to enhance their
                  working.

              5.  AI-enabled machines take decisions based on facts which are not swayed by emotions or
                  prejudices.

            Disadvantages of Artificial Intelligence

            Like every technology, Artificial Intelligence has its disadvantages too. Some of these are:
              1.  The development and implementation of AI is expensive and time-consuming.
              2.  The increased use of AI-enabled machines may increase dependency of humans on them and
                  reduction in use of their natural intelligence.
              3.  A machine using AI is dependent on its programming. Such
                  machines usually lack creativity and can only perform tasks

                  they are programmed for.
              4.  Machines do not have emotions, morals, or ethics. Thus, AI-
                  enabled devices can prove dangerous in the wrong hands.
              5.  AI-enabled  machines  may  develop  self-awareness  and  put
                  their  own  existence  at  a  higher  significance  than  that  of

                  humans.  In such a scenario,  they  might consider  humans
                  their enemies and potential threats to their existence.

            TYPES OF ARTIFICIAL INTELLIGENCE
            Based on its development approach, capability, and functionality, Artificial Intelligence can be divided

            into several types.

            Types of AI on Basis of Development Approach
            Development of AI usually follows two approaches.
              1.  Rule-based Approach: A system designed to achieve
                  artificial intelligence (AI) through predetermined rules
                  is  known  as  a  Rule-based  AI  system.  Its  structure

                  comprises  a set of  human-coded  rules that result
                  in  pre-defined  outcomes.  Two  important  elements
                  of rule-based AI models are a set of rules and a set
                  of facts and by using these, developers can create a
                  basic artificial intelligence model.


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