Page 167 - AI Ver 3.0 class 10_Flipbook
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B. Fill in the blanks.
1. Once the model is confirmed to meet the desired goals, it is ready for ………………………., where it will be integrated into
the production environment.
2. ………………………. is used in agriculture for tasks like monitoring crops, detecting pests, and estimating yields.
3. Predictive models, which are built from historical ………………………., can be used in various fields such as weather
forecasting, healthcare, finance, and more.
4. ………………………. focused on enabling machines to understand, analyse, and interact with humans through natural
language.
5. Machines and robots powered by AI can replace human workers, which could lead to ………………………..
6. The principle of ………………………. emphasises respecting an individual's right to make decisions about their own body
and life.
7. ………………………. is a crucial step that involves analysing large volumes of data to uncover meaningful patterns, trends,
and relationships.
8. Self-driving cars utilise ………………………. to recognise objects such as lamp posts, pedestrian crossings, and stop signs.
C. State whether these statements are true or false.
1. The more data we have, the more difficult the analysis will be, leading to more accurate predictions. ………………
2. Ethical frameworks are important to ensure AI development matches the goals of the development of
human beings. ………………
3. The types of data that can be used by NLP are text and video. ………………
4. Smartphones use NLP to categorise the photos on your phone under the different categories. ………………
5. Data science is implemented in e-commerce websites like Amazon and Flipkart. ………………
D. Match the following:
1. NLP a. Computer Vision
2. Face lock b. Healthcare
3. Weather Forecasting c. ChatGPT
4. Bioethics d. Problem scoping
5. 4W Canvas e. Statistical Data
SECTION B (Subjective Type Questions)
A. Short answer type questions.
1. What is the AI project cycle?
Ans. The AI project cycle provides us with a framework for planning, organising, executing and implementing an AI project to
accomplish a task. It is a structured approach to move from the conception of an AI idea to its practical implementation
and sustained operation.
2. Explain value-based ethical frameworks.
Ans. Value-based ethical frameworks concentrate on essential ethical principles and values such as honesty, respect and
fairness that influence decision-making. They are based on different moral beliefs and help us judge whether actions
are right or wrong, encouraging ethical behaviour.
Revisiting AI Project Cycle & Ethical Frameworks for AI 165

