An AI model's structure should be clear to the user. Making the system visible helps the user understand their progress. This transparency can make the user feel more in control.
By Pawan Nayar · from the LLOS AI Learning record
An AI model's structure should be clear to the user.
Making the system visible helps the user understand their progress. This transparency can make the user feel more in control.
The structure of an AI model should be visible to the user. This means showing how the system works. For example, a learning program can show different levels or tiers. This helps the user see their progress. It makes the user feel like they are climbing naturally.
A student uses an AI learning program. The program has different difficulty levels. If the program shows small banners for each level, the student sees their progress. If the levels are hidden, the student might feel confused about why questions change. Showing the structure helps the student understand their learning path.
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An AI model should change its feedback message based on the user's score. A perfect score gets a congratulatory message.
A simple score like '7/10' does not tell the user what they learned. The AI model can show specific topics the user understood better.
A settings pane should open from a clear button, like a gear icon. The pane should show different groups of settings.
An AI model must show full file paths after every major update. A major update is any change that modifies one or more files.
An AI model's structure should be clear to the user. Making the system visible helps the user understand their progress. This transparency can make the user feel more in control.