An AI model should give the user enough information to fix a problem. An AI model should not give the user information that reveals how the system works. This protects the system and keeps the message simple.
By Pawan Nayar · from the LLOS AI Learning record
An AI model should give the user enough information to fix a problem.
An AI model should not give the user information that reveals how the system works. This protects the system and keeps the message simple.
An AI model must have a plan for error messages. The plan should define different types of errors. It should also define what the user sees. The plan should also define what the system records. The user should get a message that helps them. The message should be clear and easy to understand. It should tell the user what went wrong. It should also tell the user how to fix it. The system should record more details. These details help developers fix problems. This information is for internal use only. The user should never see these details.
A developer creates an AI model for a website. The AI model helps users find products. If a user types a wrong product name, the AI model shows an error. The error message says, 'Product not found. Please check your spelling.' It does not say, 'Database query failed due to invalid input at line 345.' The user gets helpful information. The system stays secure.
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A system must have a clear signal for every failure. This signal can be a specific time, a tap pattern, or a wrong input.
Error messages must be clear and helpful. The message should tell the user what to do next.
A settings pane should open from a clear button, like a gear icon. The pane should show different groups of settings.
A developer must define a fixed total height for the main container. Every element inside this container needs a fixed slot.
An AI model should give the user enough information to fix a problem. An AI model should not give the user information that reveals how the system works. This protects the system and keeps the message simple.