Components and Stages (alias Al Project Cycle) — Flashcards
ICSE · Class 9 · Robotics & Artificial Intelligence
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What is the AI Project Cycle?
Answer
The AI Project Cycle is the sequence of phases that a project goes through from its initiation to its closure. In AI, it has five stages: Problem Scoping, Data Acquisition, Data Exploration, Modelling…
Name the five stages of the AI Project Cycle.
Answer
The five stages are: Problem Scoping, Data Acquisition, Data Exploration, Modelling, and Evaluation.
What happens in Problem Scoping?
Answer
Problem Scoping involves identifying a problem and having a vision to solve it. It means narrowing a broad theme into a clear problem statement.
Why is Problem Scoping important in an AI project?
Answer
It gives direction to the project. A clear problem statement helps decide what the AI system should solve and what data is needed later.
What is the 4Ws Problem Canvas?
Answer
The 4Ws Problem Canvas is a framework used in Problem Scoping. It helps organise the problem using four blocks: Who, What, Where, and Why.
What does the Who block of the 4Ws canvas identify?
Answer
The Who block identifies the stakeholders, meaning the people who face the problem and would be benefitted by the solution.
Who are stakeholders in an AI problem?
Answer
Stakeholders are the people who face the problem and would be benefitted with the solution.
What does the What block focus on?
Answer
The What block focuses on the nature of the problem. It asks what the problem is and gathers evidence that shows the problem really exists.
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