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Unsolved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. Why is bias in AI considered one of the biggest challenges?
a. AI systems can only be used for specific tasks
b. Bias can lead to unethical and unfair consequences
c. AI development is too expensive
d. AI systems are difficult to interpret
2. What is training data bias?
a. Bias caused by incorrect programming
b. Bias due to unrepresentative or incomplete training data
c. Bias from user interaction with AI
d. Bias occurring during the deployment of AI systems
3. What can be a result of algorithmic bias in AI systems?
a. Fair and equal treatment of all users b. Increased efficiency and accuracy
c. Unfair or discriminatory outcomes d. Enhanced user satisfaction
4. What is cognitive bias in AI?
a. The result of biased data inputs
b. Bias caused by the emotions and personal experiences of individuals
c. Bias due to technical errors in AI systems
d. Bias resulting from incorrect labelling of data
5. What is an example of AI bias in the healthcare sector?
a. AI diagnosing all patients equally
b. AI models performing well on diverse demographic groups
c. AI failing to diagnose dark-skinned individuals correctly due to training data bias
d. AI eliminating all forms of bias in medical treatments
6. What can be the impact of AI bias in the financial sector?
a. Equitable access to loans for all demographics
b. Increased financial inclusion for low-income communities
c. Discrimination against certain demographics in credit scoring
d. Elimination of all prejudices in loan approvals
7. What is the focus of AI ethics as a multidisciplinary field?
a. Maximising profits through AI applications
b. Minimising legal implications of AI misuse
c. Maximising positive effects while minimising negative consequences
d. Minimising the use of AI in everyday life
AI Ethics and Values 421

