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Digital Agriculture Research Health
Literacy
Infrastructure Transport Traffic Disability
You can select any one from the above diagram. Further you can also select from the 17 Sustainable Development Goals.
In the context of problem scoping, a theme refers to a central topic or recurring issue that emerges from the analysis
and exploration of a particular problem space. A theme is a broad term which covers all the aspects of relevance
under it. Identifying themes in problem scoping is crucial as it helps to organise and focus the investigation that
ensures the problem is understood comprehensively and that solutions are aligned with the core issues.
For Example
In highway construction, there are different issues related to land acquisition, land quality, deforestation, compensation,
raw materials, toll collection, etc. Although, these issues are different but are part of the same activity of highway
construction. In problem scoping, we take up one issue at a time and elaborate it for better understanding.
Let us fill the theme, topic and problems related to it in the following:
List of Problems
Land Quality
Deforestation
Theme Topic
Highway Land
Construction Acquisition Compensation
Raw Materials
Toll Collection
Now, we have identified that there are many problems to solve around us. To establish the goal of your project,
choose one problem from the list above that you want to address using your AI knowledge. This problem will
become the focus of your AI project, helping you to gain a clear vision of what needs to be achieved.
After determining the goal of your project, let us start working on it.
Identifying the Stakeholders
After setting the goal, we need to identify the people (stakeholders) who would be affected by the AI system when
it is developed. Stakeholders are individuals or groups who have an interest in the project or are affected by its
outcomes. They can provide valuable vision, support, and feedback throughout the project.
118 Artificial Intelligence Play (Ver 1.0)-IX

