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Tick ( ) the correct option.
1. Which ethical concern arises when data is collected from social media or CCTV footage?
a. Voluntary participation b. Data accuracy
c. Public access to data d. Data encryption
2. What is the ethical concern when NLP systems learn from biased data?
a. Misinformation b. Errors in interpretation
c. Bias against certain groups d. Privacy violations
3. What does "accountability" mean in the context of using statistical data?
a. Taking credit for good results b. Responsibility for data collection
c. Ensuring data security d. Testing data for accuracy
4. Why is transparency important in data collection?
a. Faster analysis b. Understanding and agreement
c. Longer storage d. Increased complexity
Exercise
A. 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. Statistical data should only be collected from urban areas for accurate
AI predictions. ……….……
4. AI models trained on biased historical data may reinforce harmful stereotypes. ……….……
B. 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. ………………………. in data collection helps build trust and ensures that individuals know how their
data is being used.
C. Answer the following questions:
1. How can errors in speech recognition impact communication in NLP tools?
….................................................................................................................................................................…………………….
….................................................................................................................................................................…………………….
54 Premium Edition-VII
