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Why?

                     How would it improve their            • Less or no food would be left unconsumed.
                     situation?                            • Losses due to unconsumed food would reduce considerably.

                 Problem statement template for the above activity is:

                     Our                   Restaurant Owners                                               Who?
                     Have a problem of     Losses due to food wastage                                     What?

                     While                 The food is left unconsumed due to improper estimation         Where?
                     An ideal solution  Be to be able to predict the amount of food to be prepared for     Why?
                     would                 everyday consumption


                         Iterative Nature of Problem Scoping


                 In the AI project cycle, problem scoping is a very important phase. If it is not handled properly and has flaws then
                 it could lead to failure of the project as well.
                 The iterative process is an important approach of problem scoping that helps in continually improving a design or
                 product using an AI model. It involves creating a prototype and testing it, and repeating this cycle until you reach
                 a desired AI model. The main advantages of using an iterative approach in problem scoping are:
                    • Each iteration helps you improve based on the problems identified in the past cycle.
                    • It is cost effective as the problem is identified and continual testing gives you a clear picture of the status of
                   your project.
                    • Testing and debugging are easier with smaller and initial iterations.
                    • You can present the results of each iteration to stakeholders and clients and help you showcase the efficient
                   progression of the project.


                         Ethical Issue Related to Problem Selection

                 When identifying an issue for an AI project, consider how it will influence individuals as well as society. These are some
                 important ethical issues:
                    • Fairness: Make sure that the AI system does not unfairly favour a particular group above others.
                    • Privacy: Ensure that the AI system protects the confidentiality of individuals and never collects or uses private
                   data of individuals without their consent.
                    • Transparency: People should know how exactly the AI system functions as well as why specific choices are made.
                    • Social impact: Examine how the AI system may influence society as a whole, and how it might encourage biases
                   or cause of social divisions.
                    • Environmental impact: Examine how AI system could have negative impacts on the environment. For example,
                   consuming a lot of electricity or emitting pollutants.


                         Data Acquisition

                 Data acquisition means collecting raw facts, figures, or statistics from relevant sources either for reference or for
                 analysis needed for AI projects. In the process of making an AI project cycle, data acquisition is the second stage.
                 It is a time-consuming process as different types of data are scattered everywhere, and we need to focus on data
                 relevant to our needs.

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