AI Ethics and Society - Intermediate Level MCQs

Question 1
Which of the following best defines algorithmic bias in AI systems?

(A) It refers to deliberately adding discriminatory elements to the algorithm.

(B) It occurs when training data reflects pre-existing social prejudices.

(C) It occurs due to random fluctuations in data that have no underlying pattern.

(D) It results from an algorithm’s inability to process numerical data correctly.

Question 2
In the context of AI ethics, which is a primary privacy concern?

(A) Unauthorized collection and misuse of personal data.

(B) Overuse of encryption protocols in data sharing.

(C) Processing only aggregated data.

(D) The development of open-source algorithms.

Question 3
What is meant by responsible AI development?

(A) Utilizing AI to replace all human decision-making.

(B) Designing AI systems with transparency, fairness, and accountability.

(C) Ensuring that AI systems only operate in controlled environments.

(D) Focusing solely on technical performance without public oversight.

Question 4
Which scenario best illustrates algorithmic fairness?

(A) An AI hiring tool that uses gender as a qualifying factor.

(B) An AI that learns and replicates historical hiring trends without calibration.

(C) An AI hiring tool that ensures equal opportunities for candidates from diverse backgrounds.

(D) An AI system that prioritizes candidates from well-known universities always.

Question 5
How can transparency in AI systems be enhanced?

(A) By limiting access of information only to selected stakeholders.

(B) By documenting system processes and decision-making logic.

(C) By securing trade secrets instead of sharing any design details.

(D) By providing partial explanations to avoid overwhelming users.

Question 6
What role does diversity play in mitigating bias in AI development?

(A) Diverse teams tend to conflict and slow down AI development.

(B) Diversity only matters in data collection, not in the development process.

(C) Diversity has no effect since algorithms are purely technical tools.

(D) Diverse teams can help identify and reduce biases in AI algorithms.

Question 7
Which of the following is a challenge in addressing AI ethics in society?

(A) Relying exclusively on government oversight for ethical compliance.

(B) Avoiding regulatory frameworks in technology development.

(C) Balancing innovation with ethical considerations.

(D) Prioritizing profit over data protection at all times.

Question 8
What is the significance of accountability in AI systems?

(A) Accountability means that AI systems are solely responsible for outcomes.

(B) Accountability shifts all responsibility to AI systems regardless of human input.

(C) Accountability implies complete transparency of all proprietary algorithms.

(D) Accountability ensures that decisions made by AI can be traced back and evaluated.

Question 9
What measures can organizations take to reduce privacy risks in AI applications?

(A) Publicly share all user data to increase transparency.

(B) Only use outdated datasets to avoid data breaches.

(C) Implement encryption, anonymization, and robust data governance practices.

(D) Rely exclusively on user consent without additional security measures.

Question 10
Which factor contributes most to the ethical dilemmas faced in AI development?

(A) Fully automated decision-making systems without any human input.

(B) Excessive oversight and overregulation of technical research.

(C) The lack of clear regulations and consistent ethical standards.

(D) Over-reliance on outdated ethical frameworks without considering new challenges.

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