6. Deployment

Ethics — Quiz

Test your understanding of ethics with 5 practice questions.

Practice Questions

Question 1

Which of the following ethical frameworks would be most concerned with the potential for a machine learning model to exacerbate existing societal inequalities, even if the model achieves high accuracy metrics?

Question 2

A machine learning model is developed to assist in judicial sentencing. If the model's predictions are found to be highly correlated with protected attributes (e.g., race, socioeconomic status) in a way that leads to systematically harsher sentences for certain groups, despite efforts to remove these attributes from the input data, what advanced ethical challenge does this scenario primarily represent?

Question 3

Consider a deep learning model used for medical image analysis. Due to its inherent complexity, the model's internal decision-making process for classifying a tumor as malignant is extremely difficult for human experts to interpret or explain. This situation primarily highlights a challenge in which ethical area?

Question 4

In the context of responsible ML practices, what is the primary reason for conducting a thorough 'impact assessment' before deploying an AI system?

Question 5

A social media platform uses a machine learning algorithm to curate news feeds. If this algorithm inadvertently creates 'filter bubbles' by only showing users content that aligns with their existing views, leading to increased polarization, which ethical principle is most directly being undermined?