Page 109 - Ai V2.0 Flipbook C7
P. 109
B. State whether these statements are true or false.
1. Computer vision systems should only collect the data that is relevant and necessary. ……….……
2. NLP systems never make errors when interpreting regional accents. ……….……
3. A sustainable life can’t support strengthening communities. ……….……
4. Practising renewable energy and reducing waste will help decrease greenhouse
gas emissions. ……….……
5. Utilising solar energy can help in economic growth. ……….……
6. Feedback loops are important in systems thinking. ……….……
7. AI cannot help with biodiversity monitoring. ……….……
8. Coral bleaching weakens coral reefs. ……….……
C. Fill in the blanks.
1. In computer vision, using synthetic datasets helps in maintaining ………………………. of individuals.
2. ………………………. is used to protect sensitive data such as images and videos from unauthorised
access.
3. NLP systems trained on inaccurate data may spread ………………………. and lead to poor decisions.
4. Maintaining a clean environment will promote ………………………. .
5. ………………………. resources are limited, and we need to conserve them.
6. A ………………………. feedback loop reduces or balances change.
7. Coral bleaching is caused by stress from pollution and ………………………. rise.
8. A ………………………. map is used to represent connections in a system.
D. Answer the following questions:
1. How can errors in speech recognition impact communication in NLP tools?
2. Explain the importance of ‘Do No Harm’ in the context of computer vision used in hospitals or
policing.
3. Why is it challenging to maintain anonymity in visual datasets used for AI training?
4. What do you understand by SDG 9, Industry, Innovation and Infrastructure?
5. What are the three broad categories of the Sustainable Development Goals (SDGs)?
6. How does a systems map help in problem-solving?
7. Explain the importance of a leverage point in systems thinking.
8. What causes coral bleaching?
Test Sheet 2 107

