14 Mar Problem Scoping

Problem Scoping is about figuring out what problem you want the AI to solve. For example:

• Do you want the AI to recognize cats in pictures?
• Or predict the weather?
  You need to clearly define the problem so the AI knows what to focus on.

Let’s dive into Problem Scoping. This is one of the most important steps in the AI project cycle because it’s all about understanding the problem you’re trying to solve. Think of it like planning a road trip—you need to know where you’re going before you start driving!

What is Problem Scoping

Problem scoping is the process of clearly defining the problem you want the AI to solve. It’s about asking questions like:

• What exactly is the problem?
• Who is affected by it?
• Why is it important to solve?
• What are the goals of the project?

Without a clear understanding of the problem, your AI might end up solving the wrong thing or not solving anything at all!

Why is Problem Scoping Important

Imagine you’re building an AI to help farmers. If you don’t clearly define the problem, you might end up creating something useless, like an AI that predicts the weather when what farmers really need is an AI that detects crop diseases. Problem scoping helps you stay focused and build something that actually helps people.

How to Scope a Problem

Here’s how you can break it down:

1. Identify the Problem

• Ask: What is the issue you want to solve?
• Example: Farmers are losing crops because they can’t detect diseases early.

2. Understand the Stakeholders

• Ask: Who is affected by this problem?
• Example: Farmers, agricultural companies, and even consumers who buy the crops.

3. Define the Goals

• Ask: What do you want the AI to achieve?
• Example: Create an AI that can detect crop diseases from images of plants.

4. Consider the Constraints

• Ask: What limitations do you have?
• Example: Limited data, budget, or time.

5. Ask the 4Ws (Who, What, Where, Why)

• Who: Who has the problem? (Farmers)
• What: What is the problem? (Crop diseases are hard to detect)
• Where: Where does the problem occur? (In farms)
• Why: Why is it important to solve? (To save crops and reduce food waste)

Example of Problem Scoping

Let’s say you want to build an AI to help students with their homework. Here’s how you’d scope the problem:

1. Problem: Students struggle with math homework.
2. Stakeholders: Students, teachers, and parents.
3. Goal: Create an AI that can solve math problems and explain the steps.
4. Constraints: The AI needs to work on a phone, and it should be free for students.
5. 4Ws:
   • Who: Students
   • What: Difficulty solving math problems
   • Where: At home or in school
   • Why: To improve learning and reduce stress

Tools for Problem Scoping

One helpful tool is the 4Ws Problem Canvas (which we’ll cover in Session 3). It’s like a worksheet that helps you organize your thoughts about the problem. You fill in the Who, What, Where, and Why to make sure you understand the problem fully.

Summary of Problem Scoping

• What it is: Clearly defining the problem you want to solve.
• Why it’s important: It keeps your AI project focused and useful.
• How to do it:
  1. Identify the problem.
  2. Understand the stakeholders.
  3. Define the goals.
  4. Consider the constraints.
  5. Use the 4Ws (Who, What, Where, Why).

Think of problem scoping as laying the foundation for your AI project. If you get this step right, the rest of the project will be much smoother!

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