A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

• A.An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
• B.An explanation of the prediction's rationale and a model card that describes how the model was created
• C.A marketing article of the product that clearly outlines the oroduct's capabilities and features

Comment: *

Name: *

Email: *

Verification: *

What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?

• A.Safeguarding fundamental human rights and protecting sensitive data
• B.Taking responsibility for one's actions toward customers, partners, and society
• C.Ensuring transparency In Al-driven recommendations and predictions

Comment: *

Name: *

Email: *

Verification: *

What is a key challenge of human AI collaboration in decision-making?

• A.Leads to move informed and balanced decision-making
• B.Creates a reliance on AI, potentially leading to less critical thinking and oversight
• C.Reduce the need for human involvement in decision-making processes

Comment: *

Name: *

Email: *

Verification: *

What are the key components of the data quality standard?

• A.Reviewing, Updating, Archiving
• B.Naming, formatting, Monitoring
• C.Accuracy, Completeness, Consistency

Comment: *

Name: *

Email: *

Verification: *

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

• 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

Comment: *

Name: *

Email: *

Verification: *