An AI model must always show the user how to earn rewards or access features. The user needs to understand the rules clearly. Hiding information makes the user confused.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must always show the user how to earn rewards or access features.
The user needs to understand the rules clearly. Hiding information makes the user confused.
The AI model must be open about how users get rewards. It should tell the user the exact steps needed. The user needs to see their progress. The user also needs to know what to do next. This helps the user feel in control. It makes the system easy to understand.
A student uses an AI language learning app. The app says, 'You have 3 speaking practice slots.' It then adds, 'Earned by: 60 stranger ratings + 2 friend sessions.' The app also tells the student, 'Rate 40 more strangers to earn your next slot.' This way, the student knows exactly how to get more practice time.
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The AI model should track user progress using growth metrics. This means counting questions answered and concepts explored.
A content viewer displays text only. It does not show how the text works during an interaction.
An AI model can show a confetti celebration. This happens when a user gives a right answer.
A question tells the user what action to take. It focuses on execution.
An AI model must always show the user how to earn rewards or access features. The user needs to understand the rules clearly. Hiding information makes the user confused.