Data Science Program Quiz 7

Data Science Quiz 7

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1. How do companies use data science to gain a competitive advantage?

By making data-driven decisions that improve efficiency and profitability

By replacing human employees entirely with AI models

By focusing solely on traditional business models

By avoiding data collection to reduce costs

2. Which of the following is an example of algorithmic bias in AI?

A recommendation system suggesting irrelevant products

A hiring algorithm favoring one demographic group over another

A machine learning model underfitting the training data

A data pipeline failing due to missing values

3. What is a key strategy to mitigate bias in AI models?

Ignoring bias since models will self-correct over time

Using only small datasets for training

Eliminating all categorical variables from the dataset

Ensuring diverse and representative training data

4. Which business function is most likely to use data science for customer segmentation?

Legal

Finance

Marketing

Human Resources

5. Which of the following best describes ethical AI development?

Allowing AI models to evolve without monitoring

Designing AI systems with fairness, transparency, and accountability

Minimizing model accuracy to reduce complexity

Prioritizing profitability over fairness

6. Why is it important to ensure interpretability in AI models used for business decisions?

To make AI-generated predictions easier for non-technical stakeholders to understand

To prevent competitors from understanding the model

To reduce the size of training datasets

To increase model complexity and performance

7. Which ethical principle is most important in preventing biased AI-driven hiring decisions?

Maximizing revenue

Ensuring transparency and fairness in model predictions

Reducing hiring criteria to minimize bias

Prioritizing automation over human oversight

8. Which type of bias occurs when an AI model performs well on training data but poorly on new data?

Selection bias

Sampling bias

Overfitting

Automation bias

9. How can businesses use predictive analytics to improve operations?

By increasing the complexity of their models

By relying solely on intuition for decision-making

By forecasting demand and optimizing supply chain logistics

By eliminating historical data from analysis

10. What is one best practice for responsible AI development in business?

Avoiding external audits for AI systems

Focusing only on maximizing accuracy without considering ethical concerns

Testing AI systems regularly for fairness and bias

Relying exclusively on historical data without updates

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Data Science Program Quiz 7

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