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B. Fill in the blanks.

1. ………………………. data is original data collected directly from the source for the first time.

2. Data bias happens when the data used to train AI does not ………………………. everyone fairly.

3. The three main domains of AI are ………………………., natural language processing, and statistical
data.

4. A system map uses ………………………. to show direction of influence.

5. ………………………. ensures the AI model has a reliable and representative dataset that reflects
real-world conditions.

6. Ethical AI must be environmentally and socially ……………………….. .
7. AI-driven ………………………. provide instant answers to customer questions.

8. AI also learns by looking at large amounts of ………………………. and finding ………………………. .

C. State whether these statements are true or false.
1. A smart assistant like Siri is an example of Artificial Intelligence, not Automation. ……….……

2. By learning and applying AI concepts, we can create innovative solutions that
address real-world problems. ……….……

3. Human-centric design means putting machines first. ……….……

4. Data exploration is the foundation of a successful AI project. ……….……

5. Evaluation in AI involves testing the model with new data. ……….……
6. AI focuses on using technology to support the environment and reduce waste. ……….……

7. Water pollution negatively affects coral reefs. ……….……

8. Societal bias does not affect how AI understands stereotypes. ……….……

D. Answer the following questions:
1. Describe any five data visualisation tools.

2. Explain the role of Computer Vision in self-driving cars.

3. Name any three Sustainable Development Goals (SDGs).

4. How does societal bias affect AI?

5. What is the role of Data Acquisition in an AI project?
6. How does society contribute to sustainability?

7. What happens during the evaluation stage of an AI project?

8. How does AI improve traffic management in urban areas?

Test Sheet 1 95