Question 1

What are some of the ethical challenges associated with AI development?

Options :

A : Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes

B : Implicit transparency of AI systems, which makes It easy for users to understand and trust their decisions

C : Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

Answer: A

Question 2

Carlos, who works for a healthcare startup, employs Salesforce AI to predict patient readmission rates. After deploying the model, he realizes that the predictions are vastly different from the actual readmission figures.Which data quality issue might be chiefly responsible for this discrepancy?

Options :

A : The dataset incorporates patient feedback post-discharge

B : Significant sections of the dataset have not been normalized, leading to skewed representation of patient conditions

C : The AI model factors in the type and frequency of treatments each patient received

Answer: B

Question 3

A health insurance company utilizes an AI system to adjust policy premiums based on users’ personal health data. After implementation, policyholders notice significant inconsistencies in premium adjustments but are not given an explanation as to why.Which ethical challenge related to the lack of transparency in AI does this situation best represent?

Options :

A : Model over-optimization for profit

B : Unclear decision-making rationale

C : Ineffective AI deployment

Answer: B

Question 4

Which action should be taken to develop and implement trusted generated AI with Salesforce’s safety guideline in mind?

Options :

A : Develop right-sized models to reduce our carbon footprint.

B : Create guardrails that mitigates toxicity and protect PII

C : Be transparent when AI has created and automatically delivered content.

Answer: B

Question 5

What is the role of Salesforce Trust AI principles in the context of CRM system?

Options :

A : Guiding ethical and responsible use of AI

B : Providing a framework for AI data model accuracy

C : Outlining the technical specifications for AI integration

Answer: A