Class 10 AI Unit 1: Revisiting AI Project Cycle & Ethical Frameworks for AI
11 theory hours · 4 practical hours · 7 theory marks
What this unit is about
This unit revises the six stages of the AI project cycle, the three domains of AI (data science, computer vision and natural language processing) and ethical frameworks: structured ways to decide whether an AI system is right to build and use, with bioethics in healthcare as the case study.
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What the unit covers
- The AI project cycle: problem scoping, data acquisition, data exploration, modelling, evaluation and deployment.
- The three domains of AI and an everyday application of each.
- What an ethical framework is, why AI needs one, and the types of ethical frameworks.
- Bioethics, used in healthcare, with a case study.
Key terms
- AI project cycle
- The six-stage plan for building an AI project, from defining the problem to deploying the model.
- Data science
- The AI domain that finds patterns in numbers and tables.
- Computer vision
- The AI domain that lets machines understand images and video.
- Natural language processing
- The AI domain that lets machines understand and produce human language.
- Bioethics
- An ethical framework for healthcare: respect for autonomy, do no harm, ensure maximum benefit, and give justice.
Exam-style questions
1. Name the six stages of the AI project cycle in order.
Show answer →
Problem scoping, data acquisition, data exploration, modelling, evaluation, deployment.
2. Which AI domain does a face-unlock feature on a phone belong to?
Show answer →
Computer vision, because the system has to understand an image of a face.
3. Why does AI need an ethical framework?
Show answer →
AI decisions can affect people unfairly or unsafely, so a framework gives a consistent way to check that a system respects people, avoids harm and is fair before it is used.
Sources
Unit names, hours and marks checked against the official CBSE 2026-27 curriculum on 1 November 2026. Explanations and questions are written by CogniGuru.