AI Associate Ethical Considerations of AI Practice Test 5 — 15 Questions

Question 1

A company receives a complaint that their Einstein Next Best Action recommendations are consistently suggesting different products based on the customer's ZIP code, leading to unequal access. What should the company do first?

Accepted Answer

Review the training data for geographic bias.. Option D is correct because the first step in addressing biased AI recommendations is to investigate the root cause. Geographic bias in training data is a common source of unequal outcomes in machine learning models like Einstein Next Best Action. Reviewing the data allows the company to identify and mitigate the bias before taking any other action.

Answer

Contact Salesforce support for a refund.

Answer

Increase the number of recommendations shown.

Answer

Disable the recommendation engine immediately.

Question 2

According to Salesforce's AI ethics principles, which three pillars should guide the development of AI applications?

Accepted Answer

Accountability.. Option A is correct because accountability is one of Salesforce's core AI ethics principles, requiring that organizations take responsibility for the outcomes of their AI systems. This principle ensures that there is human oversight and that AI applications are designed with mechanisms for redress and governance, aligning with Salesforce's commitment to ethical AI development.

Answer

Profitability.

Answer

Scalability.

Question 3

Refer to the exhibit. An admin sees this error in the Einstein activity log. What is the most likely cause?

Accepted Answer

Data masking is configured but not applied to the sentiment analysis model.. The error indicates that sentiment analysis is not enabled, but PII is leaking, likely because data masking is not applied to the model generating the output.

Answer

Sentiment analysis is generating PII that data masking cannot hide.

Answer

The model output should not contain any text.

Answer

The Einstein Trust Layer is completely disabled.

Question 4

A company wants to use Einstein Vision for product categorization. To ensure ethical use, they should:

Accepted Answer

Test the model for bias across different demographic groups.. Testing for bias across demographic groups helps ensure the model treats all users fairly.

Answer

Avoid using any images that contain people.

Answer

Use only high-resolution images.

Answer

Only use images from a single demographic.

Question 5

A Salesforce admin is configuring Einstein Search for an organization with users in multiple countries. Which ethical consideration is most important?

Accepted Answer

Language bias in the search results.. Language bias can lead to unequal search quality for non-English speakers, making it a key ethical concern.

Answer

Stop word exclusion.

Answer

Query performance optimization.

Answer

Tokenization settings.

Question 6

To comply with Salesforce's AI ethics principles when using Einstein Bots, which two practices should be implemented?

Accepted Answer

Allow users to escalate to a human agent.. Disclosing bot identity (transparency) and allowing human escalation (accountability) are key ethical practices.

Answer

Use the bot to make all customer decisions autonomously.

Answer

Store all conversation transcripts indefinitely.

Answer

Minimize data collection to only what is necessary.

Question 7

Refer to the exhibit. A company configures a Prompt Builder policy for Einstein GPT. What is the primary role of the 'checkPromptOutput' flag?

Accepted Answer

To scan the generated text against the banned words list.. The 'checkPromptOutput' flag in a Prompt Builder policy for Einstein GPT is specifically designed to scan the generated text against a banned words list. This ensures that the AI output does not contain prohibited or sensitive terms, aligning with ethical and compliance requirements. It is a content filtering mechanism, not a logging, token-limiting, or human-review function.

Answer

To log all prompts for audit purposes.

Answer

To limit the total number of tokens in the generated response.

Answer

To send the output to a human reviewer before sending.

Question 8

A user asks an Einstein chatbot 'What is my current account balance?' The chatbot has been trained on transactions but is not supposed to reveal account data. Which ethical principle is at risk?

Accepted Answer

Privacy.. Revealing personal financial data violates the principle of privacy.

Answer

Accountability.

Answer

Transparency.

Answer

Fairness.

Question 9

A company uses Einstein Analytics to predict employee performance and identifies low-performing employees with high confidence. What is a potential ethical concern?

Accepted Answer

Invasion of employee privacy.. Einstein Analytics uses machine learning models to analyze employee data and predict performance. Identifying low-performing employees with high confidence raises ethical concerns about invasion of privacy because the model may rely on sensitive personal data (e.g., communication patterns, work hours, or behavioral metrics) without explicit employee consent or transparency. This violates principles of data minimization and informed consent, which are core to ethical AI frameworks.

Answer

High computational cost.

Answer

Difficulty in interpreting the model.

Answer

Overfitting on historical data.

Question 10

A company uses an AI model to screen job candidates. They discover the model is rejecting candidates from certain zip codes. What should they do first?

Accepted Answer

Audit training data for bias. Option B is correct because auditing the training data for bias is the first step to identify and mitigate unfairness. Option A is wrong because increasing model complexity may exacerbate bias. Option C is wrong because removing the zip code feature alone does not address underlying bias in other correlated features. Option D is wrong because adding more features without bias analysis could introduce more bias.

Answer

Increase model complexity

Answer

Add more features to the model

Answer

Remove zip code feature

Question 11

A Salesforce admin wants to use Einstein Prediction Builder to predict customer churn. What ethical consideration is most important?

Accepted Answer

Data privacy. Option C is correct because data privacy is paramount when using customer data for predictions. Option A is wrong while accuracy is important, but privacy is a foundational ethical concern. Option B is wrong because transparency is important but not as fundamental as privacy in this context. Option D is wrong because cost is a business, not ethical, concern.

Answer

Cost of implementation

Answer

Model accuracy

Answer

Transparency of predictions

Question 12

A company deploys an AI chatbot for customer service. After training on historical chats, the chatbot frequently gives incorrect answers to minority language queries. What is the likely cause?

Accepted Answer

Data imbalance. Option C is correct because data imbalance means the training data had few examples of minority language queries, leading to poor performance. Option A is wrong because overfitting would cause poor generalization on all new data, not specifically minority languages. Option B is wrong because underfitting would cause poor performance on all data. Option D is wrong because compute power does not cause this specific bias.

Answer

Underfitting

Answer

Lack of compute resources

Answer

Overfitting

Question 13

An organization uses Einstein Recommendation Builder to suggest products. They want to ensure recommendations are fair across demographics. Which action should they take?

Accepted Answer

Regular bias audits. Option B is correct because regular bias audits help detect and mitigate unfairness over time. Option A is wrong because using only demographic features could lead to stereotype-based recommendations. Option C is wrong because removing all user data would eliminate personalization. Option D is wrong because increasing model depth does not address fairness.

Answer

Use only demographic features

Answer

Remove all user data

Answer

Increase model depth

Question 14

A healthcare company uses AI to predict patient readmission rates. What is a critical ethical requirement?

Accepted Answer

Explanation of predictions to doctors. Option B is correct because doctors need explanations of predictions to make informed decisions and maintain accountability. Option A is wrong while precision is important, explanation is more critical for ethical use. Option C is wrong because low latency is a performance requirement, not ethical. Option D is wrong because using external data may introduce privacy risks.

Answer

Low latency

Answer

High precision

Answer

Use of external data sources

Question 15

A financial institution uses AI for loan approvals. They notice the model is denying loans to women more often. After retraining with balanced data, the disparity persists. What is the next best step?

Accepted Answer

Use adversarial debiasing technique. Option B is correct because adversarial debiasing directly reduces bias in model representations. Option A is wrong because removing the gender feature may not eliminate bias if other features correlate. Option C is wrong because regularization helps control overfitting, not bias. Option D is wrong because reducing complexity may not address bias.

Answer

Increase model regularization

Answer

Remove the gender feature

Answer

Reduce model complexity