Question 1

The CEO is concerned about the societal impact of a new AI-driven social media algorithm that recommends content. From a practical ethics viewpoint, what approach should the company take?

Options :

A : Design the algorithm to prioritize user engagement above all

B : Incorporate stakeholder feedback to align the algorithm with societal values

C : Allow the algorithm to operate without restrictions to maximize revenue

D : Use only deontological principles in its design for strict ethical compliance

Answer: B

Question 2

A retail bank uses self-training to classify loan applicants as high or low risk, but it finds that updating the model after each new labeled data point is computationally intensive. Which approach can the bank use to reduce this burden?

Options :

A : Select multiple best-predicted instances in each round

B : Use an unsupervised learning model instead

C : Increase the complexity of the initial model

D : Use transductive learning instead

Answer: A

Question 3

An admissions committee decides to incorporate a measure of resilience alongside grades in its AI-based selection criteria. Which challenge is the committee likely to face with this approach to individual fairnes

Options :

A : Defining resilience as a measurable trait

B : Avoiding direct discrimination

C : Ensuring grades remain the sole basis for admissions

D : Guaranteeing equal admissions for all applicants

Answer: A

Question 4

How might AI exacerbate global inequality at a societal level?

Options :

A : By allowing less industrialized countries to adopt AI at a faster rate than industrialized countries

B : By increasing job opportunities equally across all countries

C : By benefiting wealthier, more industrialized countries more than others

D : By promoting open access to AI resources for all nations

Answer: C

Question 5

A financial institution is implementing an AI model that uses proxies for loan approval decisions. Which of the following is a potential risk associated with using proxies?

Options :

A : Proxies might result in simplified metrics that don’t align with the actual objective.

B : Proxies require extensive computational resources.

C : Proxies ensure a direct alignment with the model’s intended objective.

D : Proxies make the model fully explainable to external auditors.

Answer: A

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