Page 173 - AI Ver 3.0 class 10_Flipbook
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5. In retail store, smart checkout systems use NLP to recognise products and streamline the payment
process by automating transactions. ……….……
D. Match the following:
1. Language Translation a. Computer Vision
2. Google Lens b. NLP
3. Autonomous Weapons c. Chatbot
4. Alexa d. Object Classification
5. Self-driving cars e. Killer Robots
SECTION B (Subjective Type Questions)
A. Short answer type questions.
1. List down the steps of the AI project cycle.
2. What do you understand by statistical data?
3. The Face Lock feature in smartphones is an application of Artificial Intelligence. Explain how this feature works and
identify the AI domain it belongs to.
4. Explain the Evaluation stage of the AI project cycle.
5. Explain value-based ethical frameworks.
B. Long answer type questions.
1. Explain any three applications of computer vision.
2. List down the types of Ethical Frameworks.
3. List down the major issues and concerns related to AI.
4. Why the ethical framework is necessary for AI?
5. Differentiate between data acquisition and data exploration in AI project cycle.
6. What is Natural Language Processing? Explain any two real-life applications of NLP. [CBSE Handbook]
7. What is the necessity for Ethical Frameworks in AI development? [CBSE Handbook]
8. Mention the key characteristics of sector-based frameworks. [CBSE Handbook]
C. Competency-based/Application-based questions. 21 st Century #Critical Thinking
#Information Literacy
Skills
1. Case Study: AI used in Predicting Chronic Disease Risk Based on Lifestyle
A Health Tech company created an AI system that helps predict a person’s risk for chronic diseases like Type 2 diabetes,
obesity, and heart disease. The system used information about people's lifestyles—such as diet, exercise, sleep, and
smoking—along with medical history and genetic data. The goal was to help people identify health risks early and
make changes to prevent these diseases.
But the system caused some problems that raised ethical concerns such as data privacy, bias and discrimination, lack
of transparency. How can Health Tech company overcome these problems using Bioethics?
2. Why is consolidating information into a problem statement template important in the problem scoping stage? Provide
two benefits.
Revisiting AI Project Cycle & Ethical Frameworks for AI 171

