FREE MS-DS Master of Data science Ethical AI Considerations Questions and Answers

Question 1

A financial institution is developing an AI system to automate loan approvals.
During testing, it's discovered that the model consistently denies loans to applicants from certain demographic groups, even when their financial profiles are similar to approved applicants from other groups.
Which ethical AI consideration is primarily being violated in this scenario?

Accepted Answer

Fairness and Bias

Answer

Transparency and Explainability

Answer

Privacy and Data Protection

Answer

Accountability

Question 2

Which of the following is the MOST accurate description of 'explainability' in the context of ethical AI?

Accepted Answer

The capacity to understand and communicate how an AI system arrived at a particular decision or prediction.

Answer

The ability of an AI system to accurately predict future outcomes.

Answer

Ensuring that an AI system treats all individuals and groups equally without prejudice.

Answer

The process of securely storing and managing data used by an AI system.

Question 3

A healthcare AI system is designed to diagnose rare diseases. While it achieves high accuracy, the developers find it difficult to articulate precisely which combination of patient symptoms and lab results led to a specific diagnosis. What ethical challenge does this situation primarily represent?

Accepted Answer

Lack of transparency/explainability

Answer

Data leakage

Answer

Algorithmic bias

Answer

Overfitting

Question 4

An AI-powered recruitment tool analyzes candidate resumes and interview transcripts to recommend top applicants. It is later discovered that the tool implicitly favors candidates who use certain jargon common in a male-dominated industry, leading to fewer recommendations for female candidates. What is the primary ethical concern here?

Accepted Answer

Algorithmic bias leading to unfair outcomes

Answer

Privacy of candidate data

Answer

Lack of model interpretability

Answer

Insufficient data volume

Question 5

Which of the following best describes the concept of 'AI accountability'?

Accepted Answer

Establishing clear responsibility for the outcomes and impacts of AI systems, including errors or harms.

Answer

The ability of an AI system to learn and adapt to new data over time.

Answer

The process of deploying AI models into production environments securely.

Answer

Ensuring AI systems are protected against cyber threats and unauthorized access.

Question 6

A company is developing an AI system that processes highly sensitive personal data. To adhere to ethical guidelines and regulations like GDPR, which of the following is a fundamental consideration they must prioritize regarding data handling?

Accepted Answer

Implementing robust data anonymization, consent mechanisms, and secure storage.

Answer

Ensuring the AI model is highly optimized for performance.

Answer

Minimizing the computational resources required for model training.

Answer

Maximizing the variety of data sources used to train the model.