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    Some of these are discussed as follows:

                        Closed-ended  questionnaire: Closed-ended  questions  provide  predefined
                         answer options.  The person  answering selects  the  most  appropriate  answer
                         from the given choices. This type is useful for collecting structured and easy-to-

                         analyse data.

                         Example:

                         What is your preferred mode of transport?

                         ☐   Car           ☐ Bus                 ☐ Train               ☐ Bicycle

                        Open-ended questionnaire: Open-ended questions allow the person answering
                         to write their own response. These questions help gather detailed opinions, ideas
                         and explanations.

                         Example:

                         What improvements would you suggest for public transport?

                        Multiple choice questionnaire: The person answering is given multiple options,
                         usually with  one or more correct  answers. It is widely  used  for  surveys and

                         assessments.

                         Example:

                         Which of the following do you use regularly?

                         a)  Mobile phone                               b)  Laptop

                         c)  Tablet                                     d)  Desktop

                        Yes/No questionnaire: This type includes binary questions with only two possible
                         answers: Yes or No. It is useful for collecting clear and direct responses from the
                         person answering.

                         Example:

                         Do you use online services regularly?

                         ☐ Yes                                          ☐ No

                        Rating scale questionnaire: The person answering                  ethical minds
                         rates their opinion or experience on a scale (such

                         as numbers or levels). It helps measure attitudes,                AI systems learn from data
                         satisfaction or preferences.                                      to  make  decisions.  If  the

                         Example:                                                          data is unfair, their decisions
                                                                                           can also be unfair.
                         How satisfied are you with the service?

                      26         Artificial Intelligence (CT & AI)-IV

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