Learn how to provide transparent AI predictions with Salesforce by giving customers an explanation of the prediction’s rationale and a model card that describes how the model was created.
Table of Contents
Question
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
Answer
B. An explanation of the prediction’s rationale and a model card that describes how the model was created
Explanation
The correct answer is B. An explanation of the prediction’s rationale and a model card that describes how the model was created. Following Salesforce’s Trusted AI Principle of Transparency, customers should be able to access information that helps them understand how and why AI systems make predictions or recommendations. An explanation of the prediction’s rationale can provide the customers with the key factors or features that influenced the prediction, such as the customer’s profile, behavior, or preferences. A model card is a document that describes the characteristics and performance of a machine learning model, such as the data sources, metrics, limitations, and ethical implications. By providing these information, customers can make informed decisions, identify potential errors or biases, and mitigate harm.
An explanation of the prediction’s rationale and a model card that describes how the model was created should be accessible on the Salesforce Platform following Salesforce’s Trusted AI Principle of Transparency. Transparency means that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with.
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