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3. Which of the following describes training data bias in AI systems?
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

4. Select the definition of 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. Select 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. Which of the following strategies ensures that AI systems remain fair and accurate over time?
a. Conducting regular audits and rigorous testing
b. Ignoring user feedback

c. Using a fixed data set without updates
d. Limiting the involvement of domain experts

7. Choose the ethical dilemma AI might face when replicating human decision-making.
a. Choosing between two beneficial outcomes
b. Making moral decisions in critical situations, such as accidents

c. Ignoring all ethical concerns
d. Reducing human involvement in decisions

8. Which of the following can help reduce electronic waste caused by AI?
a. Recycle and reuse old devices b. Dispose of devices in landfills

c. Continue using outdated devices d. Ignore environmental regulations

B. Fill in the blanks.
1. AI improves forecasting, helping people prepare for major weather events.
2. An AI is a collection of rules and principles that ensure artificial intelligence is created
and used responsibly, fairly, and in harmony with human values and rights.
3. is a crucial aspect of ethics in AI because it ensures that AI systems treat all individuals
and groups equitably and without bias.
4. in AI is crucial for ensuring that the decisions made by AI systems are understandable
to humans.
5. in AI means being open and clear about how AI systems are created, how they work, and
what effects they might have.

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